bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of mindfulness on anxiety and depression in insomnia patients: A systematic review and meta-analysis
Authors: Li Hangyu , Qin Wanli , Li Nannan , Feng Shixing , Wang Junqi , Zhang Yuan , Wang Tianyi , Wang Chenlu , Cai Xuanyi , Sun Wen , Song Yang , Han Dongran , Liu Yixing 
Published: March 2023

BackgroundAs a common clinical symptom, insomnia has a high incidence of combined mental illness and it is also a risk factor for the development of depression, anxiety and suicide. As a new concept in the field of health in recent years, mindfulness therapy can improve insomnia, anxiety and depression, which is a new way to solve such diseases.ObjectiveThis study aims to systematically evaluate the effects of mindfulness compared with conventional treatment on scores of the Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) in people with insomnia and anxiety-depressive symptoms.MethodsArticles published before October 2022 were searched from seven databases and included in randomized controlled trials (RCTs) to evaluate mindfulness therapy. The assessment tool of Cochrane bias risk was used to evaluate the methodological quality of the literature. The main outcome indicators were HAMD and HAMA scores, and the secondary outcome indicators were SDS and SAS scores.ResultsTen randomized controlled trials including 1,058 subjects were systematically evaluated and meta-analyzed in this study. In the main outcome indicators, there was a significant difference between mindfulness therapy and conventional treatment in reducing HAMD score (MD: −3.67, 95% CI: −5.22–2.11, p &lt; 0.01) and HAMA score (MD: −3.23, 95% CI: −3.90–2.57, p &lt; 0.01). In the secondary outcome indicators, mindfulness therapy also showed a significant difference in reducing SDS scores (MD: −6.49, 95% CI: −6.86–6.11, p &lt; 0.01) and SAS scores (MD: −7.97, 95% CI: −9.68–6.27, p &lt; 0.01) compared with conventional treatment.ConclusionFor the people with insomnia, anxiety and depression, the use of conventional treatment with the addition of 4–12 weeks of mindfulness treatment can significantly improve anxiety and depression symptoms of patients. This is a new diagnosis and treatment idea recommended for insomniacs with or without anxiety and depression symptoms. Due to the methodological defects in the included study and the limited sample size of this paper, more well-designed randomized controlled trials are needed for verification.
Establishment and application of the performance appraisal system for hierarchical diagnosis and treatment in China: A case study in Fujian province
Authors: Wu Qinde , Zhao Zijun , Xie Xianyu 
Published: March 2023

PurposeHierarchical diagnosis and treatment, as an important measure and direction for China's medical reform, are conducive to improving the capacity of medical services and the national level of health. In this study, a hierarchical diagnosis and treatment performance evaluation index system is established to identify the effects of different influencing factors on developing hierarchical diagnosis and treatment.MethodsIn this study, samples collected from 23 representative integrated medical institutions in nine Fujian cities from 2018 to 2020 are taken as subjects. A hierarchical diagnosis and treatment performance appraisal system is established based on the mechanism of research on the operation of hierarchical diagnosis and treatment. This is combined with the evaluation index system established by the Health Development Research Center, the National Health Commission of the People's Republic of China for the evaluation of hierarchical diagnosis and treatment and the construction of the medical treatment alliance, including studies carried out by related scholars. The weight of each evaluation index is determined with the CRITIC method, and the hierarchical diagnosis and treatment effects on 23 subjects are quantitatively evaluated by the Gray correlation method based on the weight of each index.ResultsThe hierarchical diagnosis and treatment performance evaluation index system is established from three aspects, namely allocation of hierarchical diagnosis and treatment resources, establishment of the hierarchical diagnosis and treatment management system, and hierarchical diagnosis and treatment implementation effect; 27 tertiary indexes are formed in total. The Gray correlation of each year in Fujian exceeds 0.5, but &lt;0.53.ConclusionGray correlation of each year in Fujian has gradually increased. But there is still room for improvement. The government departments must improve the investment in medical resources with measures adjusted according to local conditions, promote a balanced allocation of resources for hierarchical diagnosis and treatment, increase communication and interaction between upper and lower medical institutions, and optimize the allocation of resources for hierarchical diagnosis and treatment. Then determine the types of disease to be treated, expand the coverage of chronic disease management, establish standardized chronic disease health management, and strengthen training of health management staff.
Social ties and sustainability in neighborhood canteens: A care-based approach
Authors: Dyen Margot , Michaud Maxime 
Published: March 2023

IntroductionThis article proposes to study the mechanisms by which food, and particularly commensality, generates social ties.MethodsIt mobilizes the conceptual framework of care, and is based on a qualitative methodology inspired by ethnography, to study neighborhood canteens. Two non-profit organizations were investigated, both having in common the willing to generate social ties between people living or working in the same neighborhood through the sharing of meals. We conducted participant observations and two sets of semi-structured interviews with stakeholders of the structure, either managers, employees or members. The first series aimed at describing the experiences of the participants and their sociocultural background. The second series used the projective method of collages, in order to go deeper in the understanding of the relationships between the members and with the structures.ResultsThe results show that there are different postures toward neighborhood canteens, between a desire to receive care and a desire to give care.DiscussionWe thus identify that the search for care is based on the need for recognition, valorization and reassurance and that the kind of social ties created and experienced by the stakeholders is highly dependent on the compatibility of their expectations regarding care.
Solar-based irrigation systems as a game changer to improve agricultural practices in sub-Sahara Africa: A case study from Mali
Authors: Birhanu Birhanu Zemadim , Sanogo Karamoko , Traore Souleymane Sidi , Thai Minh , Kizito Fred 
Published: March 2023

IntroductionIn rainfed agricultural systems, sustainable and efficient water management practices are key to improved agricultural productivity and natural resource management. The agricultural system in sub-Saharan Africa (SSA) relies heavily on the availability of rainfall. With the erratic and unreliable rainfall pattern associated with poor and fragile soils, agricultural productivity has remained very low over the years. Much of the SSA agricultural land has been degraded with low fertility as a result of ongoing cultivation and wind and water erosion. This has resulted in an increased food shortage due to the ever-increasing population and land degradation. Better agricultural and nutritional security are further hampered by the lack of reliable access to the available water resources in the subsurface hydrological system.MethodsThis study used socio-economic data from 112 farm households and Boolean and Fuzzy methods to understand farmers' perceptions and identify suitable areas to implement Solar Based Irrigation Systems (SBISs) in the agro-ecologies of Bougouni and Koutiala districts of southern Mali.Results and discussionResults revealed that the usage of SBISs has been recent (4.5 years), majorly (77%) constructed by donor-funded projects mainly for domestic water use and livestock (88%). With regards to irrigation, vegetable production was the dominant water use (60%) enabling rural farm households to gain over 40% of extra household income during the dry season. Results further showed that 4,274 km2 (22%) of the total land area for the Bougouni district, and 1,722 km2 (18%) of the Koutiala district are suitable for solar-based irrigation. The affordability of solar panels in many places makes SBISs to be an emerging climate-smart technology for most rural Malian populations.
A Web-Based Platform for the Automatic Stratification of ARDS Severity
Authors: Yahyatabar Mohammad , Jouvet Philippe , Fily Donatien , Rambaud Jérome , Levy Michaël , Khemani Robinder G. , Cheriet Farida 
Published: March 2023

Acute respiratory distress syndrome (ARDS), including severe pulmonary COVID infection, is associated with a high mortality rate. It is crucial to detect ARDS early, as a late diagnosis may lead to serious complications in treatment. One of the challenges in ARDS diagnosis is chest X-ray (CXR) interpretation. ARDS causes diffuse infiltrates through the lungs that must be identified using chest radiography. In this paper, we present a web-based platform leveraging artificial intelligence (AI) to automatically assess pediatric ARDS (PARDS) using CXR images. Our system computes a severity score to identify and grade ARDS in CXR images. Moreover, the platform provides an image highlighting the lung fields, which can be utilized for prospective AI-based systems. A deep learning (DL) approach is employed to analyze the input data. A novel DL model, named Dense-Ynet, is trained using a CXR dataset in which clinical specialists previously labelled the two halves (upper and lower) of each lung. The assessment results show that our platform achieves a recall rate of 95.25% and a precision of 88.02%. The web platform, named PARDS-CxR, assigns severity scores to input CXR images that are compatible with current definitions of ARDS and PARDS. Once it has undergone external validation, PARDS-CxR will serve as an essential component in a clinical AI framework for diagnosing ARDS.
Imidazolium Salts for Candida spp. Antibiofilm High-Density Polyethylene-Based Biomaterials
Authors: Martins Leal Schrekker Clarissa , Sokolovicz Yuri Clemente Andrade , Raucci Maria Grazia , Leal Claudio Alberto Martins , Ambrosio Luigi , Lettieri Teixeira Mário , Meneghello Fuentefria Alexandre , Schrekker Henri Stephan 
Published: March 2023

The species of Candida present good capability to form fungal biofilms on polymeric surfaces and are related to several human diseases since many of the employed medical devices are designed using polymers, especially high-density polyethylene (HDPE). Herein, HDPE films containing 0; 0.125; 0.250 or 0.500 wt% of 1-hexadecyl-3-methylimidazolium chloride (C16MImCl) or its analog 1-hexadecyl-3-methylimidazolium methanesulfonate (C16MImMeS) were obtained by melt blending and posteriorly mechanically pressurized into films. This approach resulted in more flexible and less brittle films, which impeded the Candida albicans, C. parapsilosis, and C. tropicalis biofilm formation on their surfaces. The employed imidazolium salt (IS) concentrations did not present any significant cytotoxic effect, and the good cell adhesion/proliferation of human mesenchymal stem cells on the HDPE-IS films indicated good biocompatibility. These outcomes combined with the absence of microscopic lesions in pig skin after contact with HDPE-IS films demonstrated their potential as biomaterials for the development of effective medical device tools that reduce the risk of fungal infections.
ANALYSIS OF METHODS FOR MINIMIZING NETWORK DELAY IN COMMUNICATION CHANNELS DURING THE TRANSMISSION OF INDUSTRIAL INTERNET OF THINGS TRAFFIC
Authors: Парфенов Д.Д. , Березкин А.А. , Кукунин Д.С. , Киричек Р.В. 
Published: March 2023

В настоящее время искусственный интеллект (ИИ) является ведущей технологией технологической революции четвертого поколения. Более того, промышленный интернет вещей улучшает производственные процессы и приложения с помощью интеллектуальных датчиков, конечных устройств, быстрых протоколов связи и эффективных процессов кибербе­зопасности. Сокращение задержек при обмене данными между устройствами промышленного интернета вещей по каналам связи различного качества является фундаментальной задачей. В данной статье анализируются методы снижения сетевой задержки в каналах связи, а также представлены экспериментальные результаты по уменьшению задержки при передаче команд от контроллера к роботизированному манипулятору (РМ) для выполнения заранее определенной задачи. Предложе­но использовать интеллектуальную модель для прогнозирования комманд, которые должен выполнять РМ. Входные данные предложенной интеллектуальной модели имеют вид временных рядов. Вместо отправки всех задач от контроллера к РМ, необходимо передавать только тип (идентификатор) задач, которые спрогнозированны интеллектуальной моделью. Экс­перименты показывают, что классификация команд и задач поможет уменьшить трафик, отправляемый от контроллера к РМ, тем самым уменьшая задержку в сети при передачи всего массива данных.
Today, artificial intelligence (AI) is the leading technology of the 4.0 technology revolution. Furthermore, the Industrial Internet of Things (IIoT) improves industrial processes and applications through intelligent sensors, actuators, fast communication protocols, and effective cybersecurity processes. Reducing latency in communication between devices in the IIoT industry in communication channels is a fundamental challenge. In this paper, we will analyze the resolution reduction methods in communication channels and experimentally will focus on reducing the delay in command transmission from the controller to the robotic arm to perform a predefined task. We propose to use an intelligent model to predict the tasks that the robotic arm needs to perform through input data in the form of time series. Instead of sending all commands, the model predicts the task and passes the task type to the robotic arm. Experiments show that the classification of commands and tasks will help reduce the traffic sent from the controller to the robotic arm, thereby reducing network latency.
POSTPARTUM HEMORRHAGIC INCIDENCE BASED ON PARITIES IN PUBLIC HEALTH CENTER OF BOGOR CITY
Authors: Agustuti Tri Diani , Wibawati Fitria Hari , Sulistyaningsih Utami , Tania Sara , Girsang Elpinaria , Astuti Widia 
Published: March 2023

Acording to the data of World Health Organization (WHO), the number of maternal deaths in the world in 2017 was 216 per 100,000 live births or maternal deaths was about 303,000 death by the highest total occurred at developing country, that was 302,000 deaths. The number of maternal deaths in the developing country was 20 times higher than the maternal deaths at the developed country, that was 239 from 100.000 live births whereas in the developed country 12 per 100.000 live births in 2017. This research used survey method of descriptive quantitative analysis by retrospective approach. The sample of the research is gotten by total technic sampling. The data used in this research was univariate and bivariate analysis with Chi-Square statistical test. Based on the parity, it was found 18 (41.9%) respondents occurred grand multipara. Based on postpartum hemorrhagic, it was found 31 (72.1%) respondents occurred secondary hemorrhagic. From 43 respondents, it was found 16 (37.2%) respondents of grand multipara parity occurred postpartum hemorrhagic. Based on bivariate analysis result by Chi-Square analysis test was found the value of P-value 0,018 < 0,05 (alpha) so Ha is accepted. There is a correlation of parity with postpartum hemorrhagic at Bogor City, Indonesia.
Keyword: Parity; Postpartum Hemorrhagic; Mother; Parities
THE RELATIONSHIP BETWEEN FAMILY SUPPORT SYSTEM AND CHILD ANXIETY LEVELS BEFORE CIRCUMCISION
Authors: Bitcar Bitcar , Idris Syamsul , Mora Gunawan Lelo 
Published: March 2023

The problem of anxiety in children before circumcision is still found, this anxiety has an impact on the psychological problems of children undergoing circumcision, so the role of the family in accompanying it is needed. One of the roles of the family that is thought to be related to children's anxiety is the family support system. The purpose of this study was to determine the relationship between the family support system and the child's level of anxiety before circumcision. This type of research used descriptive correlation with cross sectional design, the population in this study were all children who were circumcised at the Fathiyah Husada medical center. The sampling technique was accidental sampling, the number of samples was 21 people. The instrument used was a family support system questionnaire sheet and a child anxiety questionnaire. Data analysis was carried out with univariate and bivariate using Spearmen Rho test. The results showed that the Family Support System with good categories were 12 families (57.1%), the majority of children's anxiety levels were mild as many as 9 respondents (42.9%). The results of statistical tests using Spearmen Rho showed the relationship between the family support system and the child's level of anxiety before circumcision was obtained p-value = 0.000 (p<0.05). Conclusion of the study showed that there was a relationship between the family support system and the child's level of anxiety before circumcision. It is hoped that families can improve the support system for children who will undergo circumcision, so that the anxiety experienced by children can be minimized.
Keywords: Family support system; Anxiety; Circumcision
THE EFFECT OF KNOWLEDGE AND ANXIETY ON BREASTFEEDING DURING THE CORONA PANDEMIC
Authors: Syakira Wijdaningrum , Kristiyanti Rini , Chabibah Nur 
Published: March 2023

The risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to maternal and newborn health has yet to be determined. Several studies on influenza have shown an increased risk of maternal morbidity and mortality, especially during pregnancy and lactation, including those infected with SARS-CoV-2. This has the risk of increasing maternal anxiety during the pandemic. Psychological effects, severe stressors for breastfeeding mothers can cause disruptions to the lactation process as well as to baby care. This study aims to examine the effect of the level of knowledge and anxiety of breastfeeding mothers on the lactation process during the COVID-19 pandemic. The method used is quantitative with a retrospective analytic approach. The populations in this study were mothers who had children aged 0 to 2 years. The sampling technique was done by purposive sampling and obtained a large sample of 46 mothers. The instruments used in this study were a questionnaire on maternal knowledge about the corona virus and its prevention efforts which have been tested for validity by researchers, an anxiety questionnaire modifying the HARS (Hamilton Anxiety Rating Scale) and a check list for the implementation of the lactation process. Data collection was carried out by distributing Google forms via WhatsApp groups to eight-village toddler classes in the Pekalongan Regency area. The study showed that mothers who had less education had a 1.89 times higher risk of obstacles in the breastfeeding process (p-value: 0.458; CI: 0.294-21.034) while mothers who had severe anxiety had 3.34 times the risk of inhibition in the breastfeeding process ( p-value: 0.0677; CI: 0.054-0.333). The conclusion is knowledge and Anxiety of breastfeeding mothers affect the lactation process. The role of health workers in providing accurate and fast information during a pandemic is very significant in reducing anxiety levels and increasing maternal knowledge.
Pengaruh Perbedaan Konsentrasi Maltodekstrin dan Na-CMC terhadap Sifat Fisikokimia Bubuk Buah Semangka Merah
Authors: Jati Ignasius Radix A.P. , Birgitta Artadila Kusuma  , Erni Setijawaty  , Rachel Meiliawati Yoshari  
Published: March 2023

Red watermelon is commonly served as fresh cut fruit or juice. In order to broaden the use of watermelon, it can also be processed into powder. The purpose of this research was to determine the effect of different types of encapsulation and concentrations of Maltodextrin and Na-CMC on the physicochemical properties of watermelon powder. In this research, the red watermelon juice that mixed with maltodextrin and Na-CMC as encapsulants was dried using a cabinet dryer at a temperature of 60-65°C for 6 hours. The treatment levels of maltodextrin were 6%, 12% and 18%, while the Na-CMC levels was 2.5%, 5% and 7.5%. All of the treatments were repeated three times. The tests carried out included moisture content, hygroscopic level, total phenol, antioxidant activity, color and pH. The results showed that the red watermelon powder with the addition of maltodextrin has a water content of 1.68-3.65%; hygroscopic level between 9.27-11.56%; total phenol content of 437.9543-887.9543 mg GAE/g, antioxidant activity of 34.15-75.79% , color of L=49,.0-61,; C=25.4-28.2; H=33.6°-35.7° and pH value of 6.14-6.34. Meanwhile, red watermelon powder with the addition of Na-CMC has a water content of 2.85-3.67%; hygroscopic level 16.87-23.65%; total phenol 224.3183-673.1820 mg GAE/g, antioxidant activity 23.51-72.71% RSA, color with L=42.8-46.0;C=27.8-30.1; H=26.4°-28.7°, and pH 7.10-7.51.Therefore, maltodextrin and Na-CMC can potentially be used for encapsulation of red watermelon powder.
LPV Modeling and Robust Sampled-Data H∞ Control of a Tailless Flapping Wing Micro Aerial Vehicle With Parameter Uncertainties
Authors: Guo Qingcheng , Zhang Weiping , Deng Zhicheng , Mou Jiawang , Wu Chaofeng 
Published: March 2023

<p>In order to achieve improved tracking performance, this paper considers the distinct features of tailless flapping wing micro air vehicles (FWMAVs), and proposes a robust $\bm{H_{\infty}}$ controller.</p>
<p>A linear parameter Varying (LPV) model is established for a tailless FWMAV with parameter uncertainty, based on the complete dynamic and kinetic model with quasi-steady and linear damping.</p>
<p>Sampled data is used as feedback signals in controller design to overcome the influence of the control period not being much larger than the flapping period.</p>
<p>An input delay technique is employed to convert the sampled-data system into a continuous-time system with a state delay. The controller is restricted to a designed multivariable proportional-integral (PI) structure for practical engineering implementation.</p>
<p>A Lyapunov-Krasovskii function is employed to establish the stability and $\bm{H_{\infty}}$ performance of the closed-loop, and an optimization problem involving linear matrix inequalities (LMIs) is obtained using diagonal Lyapunov matrix hypotheses.</p>
<p>Numerical simulations demonstrate the strong robustness of the proposed controller, and flight experiments verify its effectiveness and superior performance compared to a state-of-the-art benchmark controller.</p>