bluuebunny/crossref_metadata_2025 huggingface dataset:
New Age Healing: Origins, Definitions, and Implications for Religion and Medicine
Authors: Levin Jeff
Published: August 2022

This paper discusses the concept of New Age healing. Its emergence into popular culture in the 1980s can be traced to burgeoning interest in human potential and holistic health in the 1960s and 1970s. These phenomena in turn, were rooted in the appearance of Theosophy, New Thought, and spiritualism in the 19th Century. Rather than a social movement, or even a singular phenomenon, the New Age is characterized as a hodgepodge of several elements with a characteristic inclination to borrow beliefs and practices from the other traditions and systems of belief and practice. These include mysticism, esoteric metaphysics, the occult, and self-actualization regimens. The rise of New Age healing has sparked converging conservative religious, secular-rationalist, and biomedical critiques of the phenomenon. Since the 1990s, the New Age label has mostly disappeared from popular usage, but associated beliefs and practices have been successful in seeding themselves into contemporary Western medicine and mainline religion, with implications for their intersection.
The Muslim Gaze and the COVID-19 Syndemic
Authors: Shahid Hina Javaid , Dogra Sufyan Abid
Published: August 2022

COVID-19 has replicated and intensified pre-existing health inequities by creating a vicious syndemic that brings together concurrent biological, psychosocial and structural epidemics with synergistic interactions that reinforce unequal outcomes. In the UK, the Muslim community has been disproportionately impacted by excess morbidity and mortality from COVID-19. This article uses a transdisplinary lens in the context of COVID-19 to analyse the role of Islamophobia as a fundamental driver of health inequities in Britain’s Muslim community. It highlights multilevel policy reforms and recommendations that centre community empowerment, social justice and cultural humility to close the gap and achieve justice and good health for all.
The Prediction of the Tibetan Plateau Thermal Condition with Machine Learning and Shapley Additive Explanation
Authors: Tang Yuheng , Duan Anmin , Xiao Chunyan , Xin Yue
Published: August 2022

The thermal condition over the Tibetan Plateau (TP) plays a vital role in the South Asian high (SAH) and the Asian summer monsoon (ASM); however, its prediction skill is still low. Here, two machine learning models are employed to address this problem. Expert knowledge and distance correlation are used to select the predictors from observational datasets. Both linear and nonlinear relationships are considered between the predictors and predictands. The predictors are utilized for training the machine learning models. The prediction skills of the machine learning models are higher than those of two state-of-the-art dynamic operational models and can explain 67% of the variance in the observations. Moreover, the SHapley Additive exPlanation method results indicate that the important predictors are mainly from the Southern Hemisphere, Eurasia, and western Pacific, and most show nonlinear relationships with the predictands. Our results can be applied to find potential climate teleconnections and improve the prediction of other climate signals.
Orthorectification of Fisheye Image under Equidistant Projection Model
Authors: Zhou Guoqing , Li Huanxu , Song Ruhao , Wang Qingyang , Xu Jiasheng , Song Bo
Published: August 2022

The fisheye camera, with its large viewing angle, can acquire more spatial information in one shot and is widely used in many fields. However, a fisheye image contains large distortion, resulting in that many scholars have investigated its accuracy of orthorectification, i.e., generation of digital orthophoto map (DOM). This paper presents an orthorectification method, which first determines the transformation relationship between the fisheye image points and the perspective projection points according to the equidistant projection model, i.e., determines the spherical distortion of the fisheye image; then introduces the transformation relationship and the fisheye camera distortion model into the collinearity equation to derive the fisheye image orthorectification model. To verify the proposed method, high accuracy of the fisheye camera 3D calibration field is established to obtain the interior and exterior orientation parameters (IOPs/EOPs) and distortion parameters of the fisheye lens. Three experiments are used to verify the proposed orthorectification method. The root mean square errors (RMSEs) of the three DOMs are averagely 0.003 m, 0.29 m, and 0.61 m, respectively. The experimental results demonstrate that the proposed method is correct and effective.
Deciphering the Drivers of Net Primary Productivity of Vegetation in Mining Areas
Authors: Tian Huiwen , Liu Shu , Zhu Wenbo , Zhang Junhua , Zheng Yaping , Shi Jiaqi , Bi Rutian
Published: August 2022

Spatial differentiation of the net primary productivity (NPP) of vegetation is an important factor in the ecological protection and restoration of mining areas. However, most studies have focused on climatic productivity constraints and rarely considered the effects of soil properties and mining activities. Thus, the impact of the forces driving NPP in mining areas on spatial location remains unclear. Taking the Changhe Basin mining area as an example, we used the Carnegie–Ames–Stanford approach (CASA) model to estimate NPP and quantified the impact of climate, soil properties, and mining activities based on factorial experiments. Our results indicate that the average NPP in the Changhe Basin mining area was 290.13 gC/(m2·yr), and the NPP in the western Changhe Basin, an intensive coal mining area, was significantly lower than that in the east. The correlations between each driver and NPP varied by location, with mean annual temperature and precipitation, soil organic carbon, total nitrogen, and land degradation showing strong correlations. The relative importance of climate, soil properties, and mining activities on the spatial variability of NPP was 38.97%, 31.50%, and 29.53%, respectively. Furthermore, 70.72% of the NPP variability in mining areas was controlled by the coupled effects of climate and soil properties (CS + SC) or climate and mining activities (CM + MC). Meanwhile, The NPP in the western Changhe Basin mining area was mainly controlled by mining activities (M) or climate and mining activities (CM), while that in the east was mainly controlled by soil properties and climate (CS). Overall, our study extends the knowledge regarding the impacts of driving forces on spatial variation of NPP in mining areas and provides a reference point for forming strategies and practices of ecological restoration and land reclamation in different spatial locations in mining areas.
Satellite Observational Evidence of Contrasting Changes in Northern Eurasian Wildfires from 2003 to 2020
Authors: Tian Jiaxin , Chen Xiaoning , Cao Yunfeng , Chen Feng
Published: August 2022

Wildfires play a critical role in re-shaping boreal ecosystems and climate. It was projected that, owing to the Arctic amplification, boreal wildfires would become more frequent and severe in the coming decades. Although provoking concern, the spatiotemporal changes in boreal wildfires remain unclear, and there are substantial inconsistencies among previous findings. In this study, we performed a comprehensive analysis to determine the spatiotemporal changes in wildfires over Northern Eurasia (NEA) from 2003 to 2020 using a reconstructed Moderate Resolution Imaging Spectroradiometer (MODIS) active fire product. We found that wildfires in NEA exhibited contrasting changes in different latitudinal zones, land cover types, and seasons from 2003 to 2020. Cropland wildfires, mainly distributed at low latitudes (50–60°N), considerably decreased by 81% during the study period. Whereas forest wildfires ignited at high latitudes (north of 60°N) have nearly tripled (increasing at rate of 11~13% per year) during the past two decades. The southwestern and northeastern NEA regions exhibited contrasting patterns of wildfire changes. The active fire counts in the southwestern NEA decreased by 90% at a rate of 0.29(±0.12) × 105 per year, with cropland fires contributing to ~66% of the decrease. However, the fire counts in the northeastern NEA increased by 292% at a rate of 0.23(±0.12) × 105 per year, with boreal forests contributing to ~97% of the increase. It is worth noting that the contrasting changes in wildfires during the past two decades have led to significant structural alternation in the NEA wildfire composition. Forest fires, contributing over 60% of the total fire counts in NEA nowadays, have become the predominant component of the NEA wildfires. The contrasting changes in NEA wildfires imply that more forest fires may emerge in far northern regions of the North Hemisphere as the Arctic becomes progressively warmer in the coming decades. As wildfires continue to increase, more gases and aerosols would be released to the atmosphere and cause considerable feedback to the Arctic climate. The increased wildfire-related climate feedbacks should, therefore, be seriously considered in climate models and projections.
Built-Up Area Extraction from GF-3 SAR Data Based on a Dual-Attention Transformer Model
Authors: Li Tianyang , Wang Chao , Wu Fan , Zhang Hong , Tian Sirui , Fu Qiaoyan , Xu Lu
Published: August 2022

Built-up area (BA) extraction using synthetic aperture radar (SAR) data has emerged as a potential method in urban research. Currently, typical deep-learning-based BA extractors show high false-alarm rates in the layover areas and subsurface bedrock, which ignore the surrounding information and cannot be directly applied to large-scale BA mapping. To solve the above problems, a novel transformer-based BA extraction framework for SAR images is proposed. Inspired by SegFormer, we designed a BA extractor with multi-level dual-attention transformer encoders. First, the hybrid dilated convolution (HDC) patch-embedding module keeps the surrounding information of the input patches. Second, the channel self-attention module is designed for dual-attention transformer encoders and global modeling. The multi-level structure is employed to produce the coarse-to-fine semantic feature map of BAs. About 1100 scenes of Gaofen-3 (GF-3) data and 200 scenes of Sentinel-1 data were used in the experiment. Compared to UNet, PSPNet, and SegFormer, our model achieved an 85.35% mean intersection over union (mIoU) and 94.75% mean average precision (mAP) on the test set. The proposed framework achieved the best results in both mountainous and plain terrains. The experiments using Sentinel-1 shows that the proposed method has a good generalization ability with different SAR data sources. Finally, the BA map of China for 2020 was obtained with an overall accuracy of about 86%, which shows high consistency with the global urban footprint. The above experiments proved the effectiveness and robustness of the proposed framework in large-scale BA mapping.
Study on the Landscape Space of Typical Mining Areas in Xuzhou City from 2000 to 2020 and Optimization Strategies for Carbon Sink Enhancement
Authors: Qiu Shi , Yu Qiang , Niu Teng , Fang Minzhe , Guo Hongqiong , Liu Hongjun , Li Song
Published: August 2022

The continuous extraction of mining resources has led to the destruction of landscape space, which has had a great impact on the human living environment and pristine ecosystems. Optimizing the ecological spatial networks of mining areas can restore and enhance the damaged ecological environment. However, there are few cases of ecological spatial network optimization in mining areas, and there are still some shortcomings. Therefore, in this study, we propose an ecological spatial network theory and a synergistic enhancement of ecological functions and carbon sink optimization model (SEEC) for urban restoration in mining areas, emphasizing the functional and carbon sink nature of ecological sources. We selected a typical mining area in Xuzhou City as the study area, explored the changes in the nature and function of the ecological spatial network from 2000 to 2020, and selected the ecological spatial network in the mining area of Xuzhou City in 2020 as the optimization study case, adding 27 ecological stepping stones and 72 ecological corridors. Through the comparison of robustness before and after optimization, we found that the optimized ecological spatial network has a stronger stability and ecological restoration ability. This study provides strategies and methods for ecological restoration projects in national mining cities and also provides references and lessons for ecological restoration in other mining areas in the future.
Radar Phase-Coded Waveform Design with Local Low Range Sidelobes Based on Particle Swarm-Assisted Projection Optimization
Authors: Feng Xiang , Zhao Zhanfeng , Li Fengcong , Cui Wenqing , Zhao Yinan
Published: August 2022

In modern electronic warfare, cognitive radar with knowledge-aided waveforms would show significant flexibility in anti-interference. In this paper, a novel method, named particle swarm-assisted projection optimization (PSAP), is introduced to design phase-coded waveforms with multi-level low range sidelobes, which mainly considers the stability for randomized initialization under the unimodular constraint. Firstly, the mathematical problem corresponding to avoid the range sidelobe masking from multiple non-cooperative targets or interference is formulated by giving different threat levels. Then, based on the alternating direction decomposition idea, the original problem is divided into triple-variable ones where these non-linear approximations can be solved via alternating projections along with FFT. Furthermore, the PSAP method with swarm intelligence, learning factor, and particle-assisted projection could ensure the optimization convergence in a parallel way, which could relax the non-convex constraint and enhance the global exploiting performance. Finally, simulations for several typical scenarios and numerical results are all provided to assess the waveforms generated by PSAP and other prevalent ones.
Intelligent Grazing UAV Based on Airborne Depth Reasoning
Authors: Luo Wei , Zhang Ze , Fu Ping , Wei Guosheng , Wang Dongliang , Li Xuqing , Shao Quanqin , He Yuejun , Wang Huijuan , Zhao Zihui , Liu Ke , Liu Yuyan , Zhao Yongxiang , Zou Suhua , Liu Xueli
Published: August 2022

The existing precision grazing technology helps to improve the utilization rate of livestock to pasture, but it is still at the level of “collectivization” and cannot provide more accurate grazing management and control. (1) Background: In recent years, with the rapid development of agent-related technologies such as deep learning, visual navigation and tracking, more and more lightweight edge computing cell target detection algorithms have been proposed. (2) Methods: In this study, the improved YOLOv5 detector combined with the extended dataset realized the accurate identification and location of domestic cattle; with the help of the kernel correlation filter (KCF) automatic tracking framework, the long-term cyclic convolution network (LRCN) was used to analyze the texture characteristics of animal fur and effectively distinguish the individual cattle. (3) Results: The intelligent UAV equipped with an AGX Xavier high-performance computing unit ran the above algorithm through edge computing and effectively realized the individual identification and positioning of cattle during the actual flight. (4) Conclusion: The UAV platform based on airborne depth reasoning is expected to help the development of smart ecological animal husbandry and provide better precision services for herdsmen.
Shipborne HFSWR Target Detection in Clutter Regions Based on Multi-Frame TFI Correlation
Authors: Wang Tao , Zhang Ling , Li Gangsheng
Published: August 2022

High-frequency surface wave radar (HFSWR) is an important marine monitoring technology, and this new regime of radar plays an important role in large-scale, continuous early-warning monitoring at sea. In particular, shipborne HFSWR has wider applications in detecting interesting sea areas, with the advantages of flexible deployment and extended detection capability. Due to the large amount of sea clutter accompanying the echo signals of shipborne HFSWR and the spread of sea clutter due to platform motion, the detection of targets in clutter regions is extremely difficult. In this paper, a multi-frame time-frequency (TF) analysis–based target-detection method is proposed. First, the sea clutter spreading area in the HFSWR echo signal is modeled, and the effects of platform motion and currents on the sea clutter spread are analyzed to determine the sea clutter coverage area; this paper focuses on frequency modeling. Then the TF image (TFI) of each range cell is obtained by TF analysis of the cells within a certain range of the echo signal, and the range cells of possible target points are determined by binary classification of the TFI through a convolutional neural network. Finally, the location of the final target point is obtained by correlation of multi-frame TFIs. Shipborne HFSWR field experiments show that the proposed detection method performs well in detecting targets concealed by sea clutter.
An Indirect Method for Determining the Local Heat Transfer Coefficient of Gas Flows in Pipelines
Authors: Plotnikov Leonid , Plotnikov Iurii , Osipov Leonid , Slednev Vladimir , Shurupov Vladislav
Published: August 2022

An indirect method and procedure for determining the local heat transfer coefficient in experimental studies on the intensity of heat transfer at a gas–surface interface is described. The article provides an overview of modern approaches and technical devices for determining the heat flux or friction stresses on surfaces in the study of thermophysical processes. The proposed method uses a constant-temperature hot-wire anemometer and a sensor with a thread sensitive element fixed on the surface of a fluoroplastic substrate. A substrate with the sensor’s sensitive element was mounted flush with the wall of the investigated pipeline. This method is based on the Kutateladze–Leontiev approach (the laws of friction and heat transfer) and the hydrodynamic analogy of heat transfer (the Reynolds analogy): this is an assumption about the unity of momentum and heat transfer in a turbulent flow, which establishes a quantitative relationship between friction stresses on the heat exchange surface and heat transfer through this surface. The article presents a method for determining the speed of the developed measuring system. An example of a successful application of the proposed method in relation to the study of thermomechanical processes in the gas exchange systems of reciprocating internal combustion engines is described.
Enhanced Harmonics Reactive Power Control Strategy Based on Multilevel Inverter Using ML-FFNN for Dynamic Power Load Management in Microgrid
Authors: Jamil Harun , Qayyum Faiza , Iqbal Naeem , Kim Do-Hyeun
Published: August 2022

The shift of the world in the past two decades towards renewable energy (RES), due to the continuously decreasing fossil fuel reserves and their bad impact on the environment, has attracted researchers all around the world to improve the efficiency of RES and eliminate problems that arise at the point of common coupling (PCC). Harmonics and un-balance in 3-phase voltages because of dynamic and nonlinear loads cause a lagging power factor due to inductive load, active power losses, and instability at the point of common coupling. This also happens due to a lack of system inertia in micro-grids. Passive filters are used to eliminate harmonics at both the electrical converter’s input and output sides and improve the system’s power factor. A Synchronous Reference Frame (SRF) control method is used to overcome the problem related to grid synchronization. The sine pulse width modulation (SPWM) technique provides gating signals to the switches of the multilevel inverter. A multi-layer feed forward neural network (ML-FFNN) is employed at the output of a system to minimize mean square error (MSE) by removing the errors between target voltages and reference voltages produced at the output of a trained model. Simulations were performed using MATLAB Simulink to highlight the significance of the proposed research study. The simulation results show that our proposed intelligent control scheme used for the suppression of harmonics compensated for reactive power more effectively than the SRF-based control methods. The simulation-based results confirm that the proposed ML-FFNN-based harmonic and reactive power control technique performs 0.752 better in terms of MAE, 0.52 for the case of MSE, and 0.222 when evaluating based on the RMSE.
Case management of social support for children and families receiving a monthly allowance for a low-income family in Kyrgyzstan
Authors:   yrgyz National University named after Jusup Balasagyn, Asangulova Zhainagul Esenbekovna
Published: August 2022

The article discusses the use of case management in social work with low-income families receiving a monthly allowance. The application of the methodology of individual social support is given on the example of a family receiving a monthly allowance for a low-income family in Kyrgyzstan.
Statistical analysis of the dynamics of infant mortality in the Russian Federation in 2011–2019
Authors:   Moscow University for the Humanities, Yurasova Darya Timofeevna , Barsh Tatyana Ivanovna ,   Moscow University for the Humanities
Published: August 2022

The article provides a statistical study of infant mortality in the Russian Federation in 2011–2019. The main purpose of the article is the calculation and analysis of statistical indicators characterizing infant mortality. Using statistical methods, such as grouping data, making histograms, calculating and analyzing indicators, it was revealed that in the Russian Federation there is a steady downward trend in the infant mortality rate, which is confirmed by a detailed analysis of the time series.
Current features of the labor force reproduction. Problems, threats, positive aspect
Authors:   Moscow University for the Humanities, Bikmeneva Elena Gennadievna
Published: August 2022

The article considers some aspects of the transformation of the labor reproduction system in the market economy. In order to find the way out of the current crisis it is necessary to search for new reserves of economic growth. Labor resources, their quantitative and qualitative level, have always been a significant factor in economic growth. The materials of the article can be used as part of the educational process in the areas
Dual antithrombotic therapy and gastroprotection in atrial fibrillation: an observational primary care study
Authors: Xie Charis Xuan , Robson John , Williams Crystal , Carvalho Chris , Rison Stuart , Raisi-Estabragh Zahra
Published: August 2022

Background

Patients with both atrial fibrillation (AF) and cardiovascular disease (CVD) may receive dual antithrombotic therapy (DAT) with both an anticoagulant and ≥1 antiplatelet agents. Avoiding prolonged duration of DAT and use of gastroprotective therapies reduces bleeding risk.

Aim

To describe the extent and duration of DAT and use of gastroprotection in a primary care cohort of patients with AF.

Design & setting

Observational study in 1.2 million people registered with GPs across four east London clinical commissioning groups (CCGs), covering prescribing from January 2020–June 2021.

Method

In patients with AF, factors associated with DAT prescription, prolonged DAT prescription (>12 months), and gastroprotective prescription were characterised using logistic regression.

Results

There were 8881 patients with AF, of whom 4.7% (n= 416) were on DAT. Of these, 65.9% (n= 274) were prescribed DAT for >12 months and 84.4% (n= 351) were prescribed concomitant gastroprotection. Independent of all other factors, females with AF were less likely to receive DAT than males (odds ratio [OR] 0.61, 95% confidence interval [CI] = 0.49 to 0.77). Similarly, older (aged ≥75 years) individuals (OR 0.79, 95% CI = 0.63 to 0.98) were less likely to receive DAT than younger patients. Among those with AF on DAT, pre-existing CVD (OR 3.33, 95% CI = 1.71 to 6.47) and South Asian ethnicity (OR 2.70, 95% CI = 1.15 to 6.32) were associated with increased gastroprotection prescriptions. Gastroprotection prescription (OR 1.80, 95% CI = 1.01 to 3.22) was associated with prolonged DAT prescription.

Conclusion

Almost two-thirds of patients with AF on DAT were prescribed prolonged durations of therapy. Prescription of gastroprotection therapies was suboptimal in one in six patients. Treatment decisions varied by sex, age, ethnic group, and comorbidity. Duration of DAT and gastroprotection in patients with AF requires improvement.
The Chronology of the Archaeological surface remains of Tepe Pa-Chogha, Central Zagros (Kermanshah, Iran)
Authors: MIRGHADERI Mohammad Amin , NIKNAMI Kamal Aldin
Published: August 2022

The highland plains of western Iran have been investigated with varying intensity. The Sarfirouzabad plain, located in the south of Kermanshah province, although visited perfunctorily, has not previously been studied systematically, despite desirable ecological and environmental conditions. In 2009, a team from the University of Tehran conducted a systematic and intensive field survey in the region to identify archaeological settlements and to assess their location concerning ecological, environmental and cultural factors impacted the distribution of sites on the plain. The surveyed area was walked in transects at 20-metre intervals and resulted in the identification of 332 archaeological sites from different cultural periods, which added much to the limited knowledge about the history of this region. During this survey, Pa-Chogha as the biggest tell site in the area, was identified. Fifty-nine samples of pottery and five stone tools were collected from the surface of Pa-Chogha dated from Late Chalcolithic to Islamic periods. Unfortunately, due to the expansion of Pa-Chogha village, the site is in danger of being destroyed. Our aim to publish this article is to introduce the Pa-Chogha as an important site for the chronology of Central Zagros at first, and preventing the further destruction of this site at the second.
The Comparison of Classical and Bayesian Structural Equation Models Through Ordered Categorical Data: A Case Study of Banking Service Quality
Authors: ERKAN Gizem , DOĞAN Murat , TATLIDİL Hüseyin
Published: August 2022

This study aims to compare classical Structural Equation Modeling (SEM) and Bayesian Structural Equation Modeling (BSEM) in terms of ordered categorical data. In order to show the relationship between service dimensions and banks’ customers’ satisfactions, a data were analyzed with classical SEM and BSEM parameter estimation methods. In the Banking Service Quality Scale (SERVQUAL), which consists of sequential categorical data, classical SEM and BSEM were compared to evaluate customer satisfaction. In classical SEM, parameter estimations were made according to the Maximum Likelihood (ML) estimation method. In most of the studies using SERVQUAL in the literature, the results found in previous studies could not be used as prior informative because the service dimensions consisted of different number of factors. For this reason, considering that the results could yield similar results with the ML estimation method due to the high sample size, the use of conjugate prior was preferred instead of the non-informative prior due to the ordinal categorical nature of the data in the BSEM analysis. Since the questionnaire used in the study had a Likert type scale structure, the threshold values were calculated for ordered categorical data and used as prior informative. Thus, by using the threshold values obtained from the data set, a faster convergence of the parameters was achieved. As a result, service dimensions affecting satisfaction according to the ML parameter estimation method were found, Assurance, Physical Appearance, and Accessibility. In addition to these, Reliability as a service dimension was found to be also statistically significant in BSEM.
DISCUSSION ISSUES OF THE ESSENCE OF FINANCIAL INSTRUMENTS OF PUBLICPRIVATE PARTNERSHIP AND PROBLEMS OF ITS USE IN UKRAINE
Authors: SHULIUK Bohdana
Published: August 2022

Introduction. Financial participation of state or local authorities in public-private partnership projects is carried out with the help of appropriate tools that allow to create a favorable environment for attracting private sector investment for the implementation of socially important infrastructure projects. However, the financial tools used by the partners in the domestic practice are characterized by low financial attractiveness to investors due to the long period of implementation, limited profitability and high risks in the financial market. Therefore, the use of innovative financial tools for the development of public-private partnership is relevant.

The purpose of the article is to generalize scientific approaches to determining the essence of financial instruments of public-private partnership and to identify problems of their effective use in Ukraine.

Results. The multifaceted interpretation of the definition of "financial instruments" allowed to form an author's interpretation of this concept, which means the means of moving financial resources from one entity to another to implement the priorities of financial policy of the state and business structures. The types and components of financial instruments of public-private partnership are singled out, as well as the problems of their use in domestic practice due to the restrictive nature of the action and gaps in the legislation are identified.

Conclusions. In domestic practice, it is necessary to improve existing and develop new financial instruments aimed at improving the innovation and investment climate in the field of public-private partnership. At the same time, it is important to strengthen state support for the development of financial instruments of this partnership, which should focus on increasing the capitalization of PPP projects.
CONTEXTUALISING SEHAT SAHULAT PROGRAMME IN THE DRIVE TOWARDS UNIVERSAL HEALTH COVERAGE IN KHYBER PAKHTUNKHWA, PAKISTAN
Authors: Khan Sheraz Ahmad , Cresswell Kathrin , Sheikh Aziz
Published: August 2022

OBJECTIVES: To describe the evolution of the Sehat Sahulat Programme (SSP), a large-scale health insurance scheme launched by the provincial government of Khyber Pakhtunkhwa, Pakistan and to contextualise it in the national discourse around Universal Health Coverage (UHC). METHODS: This review was based on peer-reviewed publications and publicly available grey literature over the last five years (2016-2020). We employed a combination of deductive and inductive approaches informed by the World Health Organisation's (WHO) UHC box framework. REVIEW: SSP was launched on 15 December 2015. It has been implemented in four phases, with a gradual expansion in the population, services and cost coverage. In 2015, SSP covered the poorest 21% of the population in four pilot districts. On 20 August 2020, the coverage was expanded to 100% of the population of Khyber Pakhtunkhwa. SSP conferred free access to an expanding list of inpatient, secondary and tertiary care services. The scheme covered all expenditures during hospital admission, with a defined upper ceiling. The ceiling for secondary and tertiary care has improved, with marked changes in tertiary coverage, from PKR 0 in Phase1 – PKR 400,000 in Phase 4. Despite the progress, SSP did not cover key health-related targets under Goal 3 of the Sustainable Development Goals (SDGs) and partially covered Pakistan's UHC benefits package. CONCLUSION: SSP coverage of population, disease and financial protection has expanded over five years. However, SSP coverage was not aligned with the national UHC priorities and the SDGs.
The Relationship of Young Women's Knowledge and Attitudes About the Physical Changes of Puberty with Self-Confidence
Authors: Saadah Nurlailis , Damayanti Anindya Amru , Rahayu Teta Puji , Santosa Budi Joko , Banu Shaik Balkhis
Published: August 2022

There are still many teenagers who do not know about the physical changes of puberty, so it can affect their confidence. Adolescents must have good self-confidence so that they can help carry out their developmental tasks, in the formation of self-image or identity in adolescents, and the process of adjusting themselves to their social, both to peers and people around them. This study aims to find out the relationship between knowledge and attitudes of adolescent girls about the physical changes of puberty with self-confidence. This research method is observational with a cross-sectional approach. Sampling uses simple random sampling. Independent variables are knowledge and attitudes, while dependent variables are self-confidence. Data collection using questionnaires. The analysis using the Chi-Square test resulted from 71 respondents obtained students who had less knowledge as many as 53 students, had negative attitudes as many as 46 students, and almost all students had low self-confidence as many as 52 students. The results of the analysis of the relationship of knowledge with self-confidence value p value = 0.010 and attitude relationship with self-confidence value p value = 0.003. In conclusion, there is a significant relationship between the knowledge and attitude of young women about the physical changes of puberty with self-confidence in MTs student Ar-Rohman Tegalrejo Semen. It is hoped that school teachers can provide explanations about the physical changes that occur in young women, so that students are better prepared for the changes that occur, and can maintain and improve their reproductive health;
Factors Influencing Age at Menarche, a School-Based Cross-Sectional Study
Authors: Novalia Novalia Kridayanti , Hery Sumasto  , Saadah Nurlailis , Surtinah Nani
Published: August 2022

The last few years have seen the increasingly young age of menarche in teenagers. The average age of the national menarche from year to year is declining. The more children experience early menarche, the greater the risk of negative implications such as lack of personal hygiene, breast cancer, and early pregnancy. Menarche's age is influenced by nutritional, economic, pornographic, and genetic status. The purpose of this study was to determine the factors that affect menarche in adolescents aged 10-12 years. The research conducted is descriptive-analytic with a cross-sectional design. The population of MIN 3 Magetan students aged 10-12 years who have menstruated and have met the inclusion and exclusion criteria. The study sample was 87 respondents with a purposive sampling technique. Data collection using questionnaires. Statistical calculations are carried out by statistical and descriptive analysis with binary logistic regression tests. The average age of menarche is 11 years with the youngest age being 9 years and the oldest at 12 years, most female students experience early menarche (65.5%). There is an effect of nutritional status on menarche (p =0.048, Exp (B)= 4.3), there is an economic influence on menarche (p=0.000, Exp (B)= 11.3), there is an influence of pornographic exposure on menarche (p=0.001, Exp (B)= 12.1), and there is no genetic or age influence maternal menarche against menarche (0.388). Nutritional status, economic status, and exposure to pornographic media increase the incidence of early menarche. The highest risk factors for exposure to pornography resulted in  12.1 times the incidence of early menarche, economic status by 11.3 times, and nutritional status by 4.2 times. Strict supervision of mass media access and maintaining nutritional intake are necessary to prevent early menarche.
Relationship Between Family Cultural Orientation in Menu Selection and Incidence of Childhood Acute Lymphoblastic Leukemia (LLA) in Surabaya, Indonesia
Authors: Indriatie Indriatie , Novitasari Aida , Mardiyana H Enung , Hasanah Nur , Koshy Krupa Susan
Published: August 2022

Diseases can be caused by consuming foods that do not have a balanced nutritional value, choosing the wrong diet, or choosing the wrong food menu. Diet is also a risk factor for cancer, such as leukemia. In the outpatient pediatric polyclinic of Dr. Soetomo Hospital Surabaya, leukemia is one of the ten most common diseases. This study aims to analyze the relationship between family culture of menu selection and the incidence of leukemia in children at the Surabaya Halfway House. The population in this study were all mothers or families and children suffering from leukemia waiting for treatment in the hospital and living temporarily in a halfway house on Jl Karang Menjangan, a total of 30 people. This type of research is analytic using a simple linear regression approach/desianalyticallye the dominant factors that influence the culture of food from menu selection with the incidence of leukemia in children. The independent variable in this study is the family culture of menu selection, which is a pattern of behavior that has been carried out by parents or families as a way to meet the needs of food which includes beliefs, knowledge about nutrition, social functions of food, and menu selection, preferences or preferences. The dependent variable is the incidence of Acute Lymphocytic Leukemia (Leukemia/ALL), which is the diagnosis of leukemia based on the medical diagnosis of the patient's status. analyzed by simple linear regression test. Results: the culture of food menu selection (beliefs, knowledge about the food menu, social functions, preferences do not contribute to the incidence of leukeand and mia in children. It is recommended that the culture of food menu selection regarding trust, knowledge, social function, preference is a food menu selection culture that must be maintained because the results obtained mostly have good habits and some are still lacking so it is hoped that the menu selection pattern will become an initial assessment for children diagnosed with cancer to prevent subsequent events.
Correlation of Leucine Intake with Serum Prolactin and Breast Milk Protein Levels in Breastfeeding Women
Authors: Lestari Ni Putu Yunita Sri , Wardani Widya Kusuma , Ratnawati Linda , Nurseta Tatit , Rahardjo Bambang
Published: August 2022

Breast milk is the best choice food for a baby’s growth and development of infants at some point of the primary 6 months of life. Fulfillment of nutrition during breastfeeding is an important requirement, one of which is the intake of the amino acid leucine which is said to affect prolactin as a regulator of breast milk production and protein synthesis in breast milk. This can support the quality and quantity of breast milk to meet the nutritional needs of infants support infant growth and development and reduce the incidence of stunting at the age of toddlers. This research aims to determine the relationship between leucine intake and levels of prolactin and protein in breast milk in breastfeeding mothers. This research is an analytic observational study with a cross-sectional method. This study carried out normality using the Kolmogorov-Smirnov test and using the Pearson correlation test to determine the relationship between variables. Based on the test results of the relationship between leucine intake and serum prolactin levels, a significance value of 0.005 (p<0.05) was obtained with a correlation coefficient value of 0.183 and the relationship between leucine intake and breast milk protein levels obtained a significance value of 0.033 (p<0.05) with a correlation coefficient of 0.147. The results of this test showed a significant relationship between these variables. There is a weak correlation between leucine intake and levels of prolactin and protein in breast milk
The Effect of Celebrity Endorser, Convenience on Actual use Through Intentions on Tiktok Application Users
Authors: Marsuki Marsuki , Hudayah Syarifah , Zainurossalamia Saida
Published: August 2022

The purpose of this study is to analyze and prove the influence of celebrity endorsers, convenience on actual use through intentions on tiktok application users in the city of Tenggarong. This study used 120 respondents and this study used a survey method with a sample in the city of Tenggarong with the Accidental Sampling Method sampling technique. Respondents were only interviewed once when they met. Data from the respondents were then tabulated and tested using statistical methods. Data were collected using a questionnaire research tool. Based on the results of the analysis and discussion, it can be concluded that convenience has a significant effect on the behavior of interest in Tiktok application users in the city of Tenggarong. So the first hypothesis is proven. Celebrity endorsers have a significant effect on the behavior of interest in Tiktok application users in the city of Tenggarong. So the second hypothesis is proven. Convenience has no significant effect on the actual use of Tiktok application users in the city of Tenggarong. So the third hypothesis is not proven. Celebrity endorsers have no significant effect on the actual use of Tiktok application users in the city of Tenggarong. So the fourth hypothesis is not proven. Interest behavior has a significant effect on the actual usage of Tiktok application users in the city of Tenggarong. So the fifth hypothesis is proven.
Community Participation in Improving The Quality of Education During The Covid-19 Pandemic
Authors: Darmawan I Putu Ayub , Maria Maria , Mardin John , Pana Timoteus Muda
Published: August 2022

This article discusses community participation in improving the quality of education during the pandemic. Researchers used a qualitative approach, with data collection using interviews and observations. The results of the study found several roles of the community in improving the quality of schools, including community involvement in providing guidance to children at home; provide guidance to children in the community, religious leaders, communities, and parents provide supervision and input related to the development of student behavior. Some of the school's efforts in optimizing the role of the community include providing confidence in the community to be involved in quality improvement. Periodic meetings are held to build community involvement. Community involvement also encountered obstacles caused by two factors, namely the lack of public understanding regarding the role of the community and community work factors that caused the low involvement of parents in educating children at home.
Akurasi dalam Mengidentifikasi Tingkat Similarity pada Artikel Ilmiah Menggunakan Algorithma Jaro Winkler
Authors: Santosa Firman
Published: August 2022

Plagiarisme merupakan isu yang kerap berkembang dan selalu terjadi khususnya di Perguruan Tinggi. STKIP Rokania telah memiliki sistem pencatatan artikel ilmiah yang bernama E-Jurnal yang selalu digunakan oleh dosen untuk mempublikasikan jurnal dan mencari topik dan literatur yang relevan. Dalam pembuatan artikel ilmiah, sering sekali tidak terdeteksinya tindakan plagiarism terhadap artikel ilmiah yang diajukan oleh dosen. Kecurangan ini dilakukan dengan mengkombinasikan abstrak-abstrak yang telah tersedia sehingga membentuk satu abstrak hasil penggabungan. Artinya abstrak bukanlah hasil yang dibuat sendiri oleh peneliti. Permasalahan terbesarnya adalah ketika tidak terdeteksinya tindakan kecurangan ini yang disebabkan pengecekan dokumen dilakukan secara manual. Hal ini tentu saja dapat mengakibatkan menurunkan reputasi E-Jurnal yang sudah terakreditasi tersebut. Permasalahan ini tentu saja harus segera diberikan solusi yang tepat untuk mengidentifikasi tingkat similarity pada artikel ilmiah yang sudah ada sebelumnya. Identifikasi tingkat similariry pada artikel ilmiah dibuat melalui tahapan pengembangan terstruktur menggunakan algoritma Jaro Winkler yang dipilih untuk mendeteksi similaritas dokumen abstrak artikel ilmiah dengan abstrak-abstrak yang telah tersimpan pada basis data E-Jurnal. Sistem akan menampilkan berapa persen tingkat kesamaan abstrak artikel ilmiah tersebut sehingga admin jurnal memberikan keputusan yang tepat saat menerima artikel ilmiah tersebut atau menolaknya. Melalui penelitian ini, dosen dapat melakukan pengecekan awal abstrak dari calon artikel ilmiahnya untuk meminimalkan terjadinya plagiasi. Dengan demikian dapat meminimalisir tindakan kecurangan dosen dalam pembuatan artikel ilmiah dan menghasilkan jurnal yang berkualitas bernilai lebih tinggi.
Hepatitis E virus
Authors: Pinazo Bandera JM , Toro Ortiz JP , Fernández García F
Published: August 2022

La infección por el virus de la hepatitis E ocasiona una importante morbimortalidad en pacientes de riesgo. Supone la hepatitis aguda más frecuente en algunos países, con una incidencia en aumento; sobre todo, en varios puntos geográficos de Europa. Los genotipos 1-2 suelen cursar en forma de hepatitis agudas epidémicas o endémicas relacionadas con grandes catástrofes y casos de hepatitis fulminante en gestantes. Los genotipos 3-4 son responsables de hepatitis aguda esporádicas y tienen riesgo de cronificar en pacientes inmunodeprimidos. La mayoría de las veces cursan de forma asintomática, existiendo riesgo de hepatitis aguda grave en embarazadas, fallo agudo sobre crónico en pacientes con hepatopatía basal y cronicidad en pacientes inmunodeprimidos. El VHE se caracteriza por una serie de manifestaciones extrahepáticas entre las que destacan las neurológicas (amiotrofia neurálgica bilateral y síndrome de Guillain Barré) y las renales. El diagnóstico se basa en técnicas moleculares en sangre o en heces. Una persistencia de la viremia de al menos 3 meses define la infección como crónica. La mayoría de los casos de hepatitis aguda E no requieren tratamiento específico, si bien es cierto que en casos de hepatitis aguda grave o hepatitis crónica se opta por tratamiento médico. En caso de cronicidad, si no se consigue el aclaramiento tras el descenso de medicación inmunosupresora, la ribavirina y el interferón pegilado se consideran los fármacos de elección. Como herramientas preventivas se recomienda una correcta higiene para evitar la transmisión así como abstenerse de comer carne cruda/poco cocinada de cerdos y similares.
Feiras alimentares e mercados territoriais
Authors: Cruz Maria Sirlene da , Schneider Sergio
Published: August 2022

O artigo tem como objetivo apresentar as instituições (normas tácitas e formais) que conformam as feiras no Vale do Jequitinhonha e no norte do estado de Minas Gerais. Essas feiras podem ser compreendidas como mercados territoriais a partir do conjunto de instituições, atores, estruturas e das relações de poder que se constituem no território. Com base na revisão de literatura sobre as feiras e nos referenciais da abordagem institucional de mercados, destacou-se que as relações de confiança, a qualidade e a diversidade de produtos são algumas das principais dimensões pelas quais funcionam e se estruturam as feiras e os mercados locais. O estudo também tentou mostrar que, embora os mercados locais se ordenem em torno de regras e normas próprias, eles estão imersos em um sistema externo de regulação pelos quais operam os mercados globais, tais como normas oficiais de controle, de inocuidade sanitária, leis e preços que geram pressão nos sistemas agroalimentares localizados.