bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: Interaction between Labor Market Conditions and Educational Investment
Authors: García Miguel Ángel Ropero 
Published: October 2023

Abstract

We consider a two-period model in which an informed worker may invest in education in the first period, in which case she will not participate in the labor market in that period, but her diploma will allow her to signal a greater productivity in the second period. In this setting, we analyze the effects of a change in the labor market conditions on the worker´s educational decision. In a selective educational system wherein the rate at which the cost of education decreases with the worker´s productivity is sufficiently high, we found that the worker´s incentives to invest in education become stronger when the worker is more patient, when the expected future wage is greater, or when the cost of education is lower. Interestingly, the opposite occurs in a nonselective educational setting wherein the rate at which the cost of education decreases with the worker´s productivity is sufficiently low. Those results are robust to the worker´s risk preferences and to the specification of the prior distribution function of worker´s productivities.
JEL Classification: C72, C79, D82, D83, I21, J01.
Negative pressure protection of water supply systems with multi-undulating terrain by one-way surge tanks
Authors: Zhao Wenlong , Yu Xiaodong , Tang Ronglian , Shi Lin , Chen Nan , Zhang Jian , Du Chang 
Published: October 2023

Abstract
The protection of negative pressures generated by the hydraulic transient process in the water supply system is crucial to safe and stable operation. In this study, a mathematical model of a pipeline hydraulic transient system with multi-undulating terrain was established based on the method of characteristics (MOC). The generation and development of water hammer negative pressures were analyzed, and double one-way surge tank protection schemes were proposed. It proved that the first surge tank should be located at the initial negative pressure point, and the second surge tank should be located at the second-highest point rather than the highest point. Additionally, compared with the theoretical minimum height, there was an optimization margin for the total surge tank height, which was reduced by 21% in this study. Meanwhile, the applicability of protection schemes and the influence of the one-way surge tank number on the total height were analyzed. The total height reduced with the increase of one-way surge tank number and tended to a minimum value. By comprehensively considering the engineering investment and negative pressure protection effect, the optimal surge tank number could be determined. This research represents an advance in negative pressure protection in multi-undulating terrain and provides support for further engineering studies.
A new stable and interpretable flood forecasting model combining multi-head attention mechanism and multiple linear regression
Authors: Wang Yi-yang , Wang Wenchuan , Chau Kwok-wing , Xu Dong-mei , Zang Hong-fei , Liu Chang-jun , Ma Qiang 
Published: October 2023

Abstract

This article proposes a multi-head attention flood forecasting model (MHAFFM) that combines a multi-head attention mechanism (MHAM) with multiple linear regression for flood forecasting. Compared to models based on Long Short-Term Memory (LSTM) neural networks, MHAFFM enables precise and stable multi-hour flood forecasting. First, the model utilizes characteristics of full-batch stable input data in multiple linear regression to solve the problem of oscillation in the prediction results of existing models. Second, full-batch information is connected to MHAM to improve the model's ability to process and interpret high-dimensional information. Finally, the model accurately and stably predicts future flood processes through linear layers. The model is applied to Dawen River Basin, and experimental results show that the MHAFFM, compared to three benchmarking models, namely, LSTM, BOA-LSTM (LSTM with Bayesian Optimization Algorithm for Hyperparameter Tuning), and MHAM-LSTM (LSTM model with MHAM in hidden layer), significantly improves the prediction performance under different lead time scenarios while maintaining good stability and interpretability. Taking Nash–Sutcliffe efficiency index as an example, under a lead time of 3 h, the MHAFFM model exhibits improvements of 8.85, 3.71, and 10.29% compared to the three benchmarking models, respectively. This research provides a new approach for flood forecasting.
Developed log-wake law and turbulent behaviour of flow along a stepped spillway
Authors: Pongcharoenpit Panaitep , Kositgittiwong Duangrudee , Ekkawatpanit Chaiwat 
Published: October 2023

Abstract

The log-wake law for turbulent current has been developed and tested with laboratory data on turbulent flow in smooth pipes. However, flow with turbulence and vortices in a stepped spillway have not been described. Therefore, in this study, a log-wake law has been developed for use in stepped spillway systems. It can be divided into three parts. The first part, a logarithmic equation, describes the effect of shear stress between the flow layers with a von Kármán constant of 0.41. The second part, a third-degree polynomial, describes the effect of the shear stress on the wall. The last part, a fourth-degree polynomial, describes the effect of changing the flow pressure distribution, similar to the wall-free shear stress. Calibration tests (68 datasets) are used with a flow rate between 0.0233 and 3.285 m3/s, a spillway slope of 14–30°, and a step height of 0.0380–0.610 m. The developed log-wake law characterized the flow in a stepped spillway well. The limitation of the equation is a maximum flow velocity of 4 m/s; the accuracy of this equation decreases as the step height increases.
Assessing the quality of the municipal wastewater used for irrigation in Jodhpur, Rajasthan, India
Authors: Poonia Poonam , Gaur Loveena , Parihar Sangeeta , Pachak Suresh Kumar 
Published: October 2023

AbstractMunicipal wastewater has been inevitably rising over time with the growing population, rapid urbanisation, and expanding sewerages. This study was conducted in the Jodhpur district of Western Rajasthan, India, which has a hot semi-arid climate and faces an acute shortage of good-quality water for irrigation. As a result, municipal wastewater is being used in agricultural fields in urban and peri-urban areas of Jodhpur. This study evaluates the suitability of municipal wastewater for irrigation in agriculture. Samples were collected from the Basni Bedan drainage area during December, 2022 and were analysed for various physico-chemical and biological parameters. The SAR value and EC were observed as 13 + 0.20 Meq/L and 1352.5 + 20.11 μS cm−1. BOD, DO, and COD values were obtained 56 + 2.57, 365 + 7.64, and 3.55 + 0.13 mg/L, respectively, which were above the Indian Standard permissible levels. High levels of total coliform counts, 177.5 + 4.86 MPN/100mL, were found. Statistical analysis reveals a positive correlation for pairs chemical oxygen demand (COD) and biochemical oxygen demand (BOD) (R=0.98) and a negative correlation for pairs BOD and dissolved oxygen (DO) (R=0.99). It was concluded that the studied wastewater is polluted and may cause potential health risks. There is a need for proper planning and strategies to develop an economical viable treatment system for sustainable agricultural management.
Liraglutide and Liver Injury: Rare Case Report with Literature Review
Authors: Salehi Amir Mohammad , Hasanzarrini Maryam , Salehi Hossain , Jenabi Ensiyeh 
Published: October 2023

Background:
Liraglutide is a glucagon-like peptide-1 (GLP-1) receptor agonist used
for the treatment of type 2 diabetes mellitus (T2DM). So far, few severe side effects have been
reported for it.

Case Presentation:
A 41-year-old woman was admitted to the Emergency Room with diffuse
abdominal pain. The patient had a known case of T2DM, fatty liver disease, and hypertension
and was treated with Metformin, Liraglutide, and Losartan. Her liver functional test (LFT) was
consistent with hepatocellular injury; however, laboratory tests and abdominal ultrasound were
used to rule out autoimmune hepatitis. Due to concerns for drug-induced liver injury (DILL),
liraglutide was discontinued and N-acetyl cysteine was prescribed. On the fifth day of hospitalization,
the patient's symptoms resolved and his LFT started to decrease on the sixth day after 2
months, the patient's liver enzyme levels returned to normal.

Conclusion:
Liraglutide is one of the most important drugs in the treatment of T2DM.The most
common side effects of this drug are constipation, nausea, vomiting, diarrhea, indigestion, and
loss of appetite. In rare cases, symptoms of thyroid cancer, pancreatitis, and hypoglycemia have
been reported, however, DILL is one of the extremely rare side effect of Liraglutide. It is important
to increase the awareness of physicians about the liver injury of Liraglutide.
Is Africa ready to join the blockchain revolution: a feasibility study
Authors: Monethi Tlhokomelo Rethabile 
Published: October 2023

This study assesses the readiness of African governments to adopt blockchain technology, which has gained global recognition since the emergence of bitcoin in 2008. The paper examines whether African governments, given their political, economic, and social challenges, are prepared to embrace the blockchain revolution. The research focuses on a feasibility study of several African countries, including Nigeria, South Africa, and the Central African Republic, using a mixed-methods approach that combines quantitative and qualitative data analysis methods. The author draws on Jennifer Bridges' four interdependent elements of a feasibility study, which include political feasibility, economic feasibility, technical capacities, and legal and regulatory compliance.
The study examines how blockchain technology can provide transparent and reliable systems to combat corruption and mismanagement in government structures, which contribute to poor service delivery in the region. Furthermore, the research evaluates the potential positive and negative outcomes of blockchain implementation on African development, such as an increase in foreign direct investment and productivity, and a reduction in wasteful expenditure.
Algorithmization for calculating the security assessment of AIS operating systems of internal affairs bodies, developed on the basis of an analysis of security requirements GOST R ISO/IEC 15408 and possible threats
Authors: Yangirov A. I. , Rogozin E. A. , Bokova O. I. , Akhlyustin S. B. 
Published: October 2023

Objective. The article provides a generalized algorithmization of the processes necessary for developing software for assessing the security of operating systems of automated information systems of internal affairs bodies of the Russian Federation.Method. The research was carried out based on the method of analyzing possible threats to the security of operating systems, as well as the requirements of the GOST R ISO/IEC 15408 standard.Result. The result of the automated system for calculating the security indicator of the analyzed OS is one of the specified criteria for indicators of the degree of security of the OS. By comparing the obtained indicator, the corresponding result is output.Conclusion. The authors provide a generalized algorithmization of the processes necessary for developing software for assessing the security of the AIS OS of the Russian Federation ATS.
Trend of the Tuberculous Pleurisy Notification Rate in Eastern China During 2017-2021: Spatiotemporal Analysis
Authors: Zhou Ying , Luo Dan , Liu Kui , Chen Bin , Chen Songhua , Pan Junhang , Liu Zhengwei , Jiang Jianmin 
Published: October 2023

Background
Tuberculous pleurisy (TP) presents a serious allergic reaction in the pleura caused by Mycobacterium tuberculosis; however, few studies have described its spatial epidemiological characteristics in eastern China.

Objective
This study aimed to determine the epidemiological distribution of TP and predict its further development in Zhejiang Province.

Methods
Data on all notified cases of TP in Zhejiang Province, China, from 2017 to 2021 were collected from the existing tuberculosis information management system. Analyses, including spatial autocorrelation and spatial-temporal scan analysis, were performed to identify hot spots and clusters, respectively. The prediction of TP prevalence was performed using the seasonal autoregressive integrated moving average (SARIMA), Holt-Winters exponential smoothing, and Prophet models using R (The R Foundation) and Python (Python Software Foundation).

Results
The average notification rate of TP in Zhejiang Province was 7.06 cases per 100,000 population, peaking in the summer. The male-to-female ratio was 2.18:1. In terms of geographical distribution, clusters of cases were observed in the western part of Zhejiang Province, including parts of Hangzhou, Quzhou, Jinhua, Lishui, Wenzhou, and Taizhou city. Spatial-temporal analysis identified 1 most likely cluster and 4 secondary clusters. The Holt-Winters model outperformed the SARIMA and Prophet models in predicting the trend in TP prevalence.

Conclusions
The western region of Zhejiang Province had the highest risk of TP. Comprehensive interventions, such as chest x-ray screening and symptom screening, should be reinforced to improve early identification. Additionally, a more systematic assessment of the prevalence trend of TP should include more predictors.
Digital Health Secondary Prevention Using Co-Design Procedures: Focus Group Study With Health Care Providers and Patients With Myocardial Infarction
Authors: Pelly Melissa Louise , Fatehi Farhad , Liew Danny , Verdejo-Garcia Antonio 
Published: October 2023

Background
Myocardial infarction (MI) is a debilitating condition and a leading cause of morbidity and mortality worldwide. Digital health is a promising approach for delivering secondary prevention to support patients with a history of MI and for reducing risk factors that can lead to a future event. However, its potential can only be fulfilled when the technology meets the needs of the end users who will be interacting with this secondary prevention.

Objective
We aimed to gauge the opinions of patients with a history of MI and health professionals concerning the functions, features, and characteristics of a digital health solution to support post-MI care.

Methods
Our approach aligned with the gold standard participatory co-design procedures enabling progressive refinement of feedback via exploratory, confirmatory, and prototype-assisted feedback from participants. Patients with a history of MI and health professionals from Australia attended focus groups over a videoconference system. We engaged with 38 participants across 3 rounds of focus groups using an iterative co-design approach. Round 1 included 8 participants (4 patients and 4 health professionals), round 2 included 24 participants (11 patients and 13 health professionals), and round 3 included 22 participants (14 patients and 8 health professionals).

Results
Participants highlighted the potential of digital health in addressing the unmet needs of post-MI care. Both patients with a history of MI and health professionals agreed that mental health is a key concern in post-MI care that requires further support. Participants agreed that family members can be used to support postdischarge care and require support from the health care team. Participants agreed that incorporating simple games with a points system can increase long-term engagement. However, patients with a history of MI emphasized a lack of support from their health care team, family, and community more strongly than health professionals. They also expressed some openness to using artificial intelligence, whereas health professionals expressed that users should not be aware of artificial intelligence use.

Conclusions
These results provide valuable insights into the development of digital health secondary preventions aimed at supporting patients with a history of MI. Future research can implement a pilot study in the population with MI to trial these recommendations in a real-world setting.
INTEGRATING HTML5-BASED SPEECH RECOGNITION WITH LEARNING MANAGEMENT SYSTEM TO ENHANCE EFL LEARNERS’ PRONUNCIATION SKILLS
Authors: Al Aufi Asma , Naqvi Samia , Naidu Vikas Rao , Al Homani Yusra 
Published: October 2023

HTML5 (HyperText Markup Language version 5) is currently integrated with almost all web-based applications due to its compatibility with numerous types of multimedia content including music, video, and animation. This exploratory study focused on the application and assessment of an HTML5-based plugin called H5P as a Computer Assisted Pronunciation Training (CAPT) tool in developing the pronunciation skills of intermediate-level learners of English as a foreign language (EFL). The target words were initially recorded with their correct pronunciations and then the audio files were imported into H5P to create interactive exercises. The H5P was then integrated with the institutional Learning Management System (LMS). The practice was implemented on n=188 EFL learners enrolled in the General Foundation (GFP) of a university college in the Sultanate of Oman. The efficacy of the approach was assessed through the perspectives of students by using student questionnaires and a student focus group discussion (FGD). The study yielded encouraging findings since most of the students agreed that the use of HTML5 as a CAPT tool was helpful in enhancing their pronunciation skills as it provided automatically generated instant feedback, was easy to use, and could be used by students autonomously at their own pace. Although the impact of software on student achievement in terms of pronunciation skills could not be gauged and the sample was limited to one institution, the study has useful implications for EFL teachers and curriculum designers on using HTML5 for developing pronunciation skills. Further studies are necessary to investigate the pedagogic potential of CAPT resources to develop a high level of competence in EFL learners’ pronunciation.
TEACHING ENGLISH AT THE MASTER’S DEGREE COURSE “LEADERSHIP AND COMMUNICATION IN SCIENCE, INDUSTRY AND EDUCATION”
Authors: Sysoeva Maria , Shabashova Elena 
Published: October 2023

Increasing the share of multinational science in the global research and at the industry market leads to attracting promising young specialists and leaders to develop science, technology, engineering, economy and social sphere. The introduced course on "Leadership and Communication in Science, Industry and Education" for the Master’s program students at the Foreign Languages Department of the Moscow Institute of Physics and Technology (National Research University) (MIPT) gives the graduates an invaluable opportunity to become well-rounded leaders in their respective fields. By focusing on leadership and communication skills mastered through English this course equips the students with the essential tools to excel in their careers and make a meaningful impact enhancing the reputation and visibility of Russian scientific achievements which positions the students as advantageous candidates for roles in technology transfer, research management, and industry-academia partnerships both in Russia and internationally.
Role of Mesencephalic Astrocyte-Derived Neurotrophic Factor Levels in Pathogenesis of Non-Alcoholic Fatty Liver
Authors: Jawad Al-Tu’ma Fadhil , Hameed Gazi Ibtihal , Hameid Odda Atheer , Fadhil Al-Tu’ma Jawad 
Published: October 2023

Background: Non-alcoholic fatty liver disease (NAFLD) has a global prevalence of 25% and is one of the main causes of cirrhosis and hepatocellular carcinoma. Recently, the stress response protein mesencephalon-astrocyte-derived neurotrophic factor (MANF) has been shown to regulate hepatic and systemic metabolic homeostasis.
Objectives: The main purpose of this study is to investigate the relationship between mesencephalon-astrocyte-derived neurotrophic factor levels with other anthropometric indicators, and its function in the pathogenesis of non-alcoholic fatty liver disease.
Materials and Methods: A total of 120 patients with ages ranging between 40 to 73 years were included in this study and their serum samples were collected and kept at -2 °C. The liver function test, lipid profile, and albumin were determined using the automated biochemistry analyzer, while the mesencephalic astrocyte-derived neurotrophic factor biomarker was determined by the ELIZA technique.
Results: Our study showed that MANF levels decrease with age, and decreased MANF levels are associated with inflammatory phenotypes. The mean levels of ALT, ALP, AST, TSB, and the ALT/AST ratio in the non-alcoholic fatty liver patients were significantly higher than that for the non-fatty liver patients. As well, the mean level of MANF in the non-fatty liver patients was 305.25 ± 110.49 mg/dl which was significantly higher in the non-alcoholic fatty liver group (157.52). (p ≤ 0.001)
Conclusion: A novel finding of our study is that the reduction of serum MANF levels is strongly associated with the pathogenesis of non-alcoholic fatty liver disorders and could be used as a potential therapeutic target in the treatment of hepatic disorders.
O “ESTRANHO CASAMENTO” ENTRE ULTRANEOLIBERALISMO E ULTRACONSERVADORISMO E OS ATAQUES À UNIVERSIDADE PÚBLICA
Authors: Accioly Inny Bello , Da Silva Nascimento Luciane , Da Costa Kleyton 
Published: October 2023

O artigo analisa os sentidos da associação entre ultraneoliberalismo e ultraconservadorismo e seus impactos nas universidades públicas. São analisados a agenda de desmonte e refuncionalização das universidades, relacionando-a às contrarreformas ultraneoliberais, e o uso da retórica do ódio e da guerra cultural para a desmoralização dos servidores e descredibilização das instituições científicas. Conclui-se que a associação com o ultraconservadorismo é estratégica para liberar os entraves institucionais para a implementação da agenda ultraneoliberal.
Palavras-chave: Universidade Pública; Ultraneoliberalismo; Ultraconservadorismo.
Anticaries Potential of Temu Kunci-Serai Ethyl Acetate Extract Combination: In Vitro and Molecular Studies Approach
Authors: Priyadi Muhammad , Saputra Rizki Rachmad 
Published: October 2023

Dental caries is one of the problems in dental disorders suffered by many people. There have been many ways of handling such as using temu kunci and lemongrass plants. This study aims to determine the antibacterial activity of caries in vitro and predict the mechanism of action of the bacteria that cause caries Streptococcus mutans. Temu kunci and lemongrass were extracted using ethyl acetate solvent. antibacterial tests against Streptococcus mutans were carried out using diffusion tests with a combination treatment of temu kunci: serai extracts 5% b/v: 5% b/v, 5% b/v: 10% b/v, and 10% b/v: 5% b/v. The positive control used amoxicillin and DMSO as a negative control. Potency as an anticaries drug of drived compound from Temu Kunci and Serai were evaluated by molecular docking using glucosyltransferase (3AIC). The results showed that the combination of temu kunci and serai with concentration 10% b/v: 5% b/v has potential as anticaries against Streptococcus mutans. Molecular studies depicted that Panduratin A, Isopanduratin, and 1,3-O-di-p-coumaroylglycerol have great activity toward 3AIC, respectively. Especially for Panduratin A and Isopanduratin, those compound depicted great and similar binding affinity (-8.4 kcal mol-1) that lower than Acarbose as native ligand (-8.3 kcal mol-1). Furthermore, those compound binding similarity ilustrated activity mechanism similarly with native ligand toward receptor. Additionally, the profiling drug-target interaction suggested Temu Kunci’s derived compounds have great potential as anticaries treatment.