bluuebunny/crossref_metadata_2025 huggingface dataset:
INSTAGRAMABLE TOWN
Authors: Yanuar Andri , Aufa Naimatul
Published: April 2024

Instagramable Town is designed to meet the needs of tourist attractions in Banjarbaru that can accommodate a variety of photo spot facilities which are again favored by millennials. The solution to the problem taken on Instagramable design takes a photogenic concept in architecture by applying natural settings, signage, lighting, murals, tiles & textures. the photogenic concept in architecture is expected to provide a place that can accommodate a variety of photo spot facilities which are again favored by the millennial generation.
PUSAT KULINER KHAS KABUPATEN HULU SUNGAI SELATAN DI BANJARMASIN
Authors: Yulandha Fitria Arissa , Oktaviana Anna
Published: April 2024

Hulu Sungai Selatan has very interesting regional specialties to taste, but the popularity of the Hulu Sungai Selatan culinary specialty is less developed because people from various regions outside Hulu Sungai Selatan do not have enough time or opportunity to come directly to Hulu Sungai Selatan. At present the city that is a place to stay or settle is that most people from various islands, provinces and districts are Banjarmasin, in Banjarmasin there are actually places that sell typical Hulu Sungai Selatan culinary but unfortunately most only sell ketupat kandangan only while other cuisines are less popular , from that problem arises that is how to design a culinary center that can popularize the peculiarities of the Hulu Sungai Selatan culinary in Banjarmasin. To answer these problems a central culinary design can be used as a medium to popularize the typical Hulu Sungai Selatan culinary using the Peter Zumthor Atmospheres method emphasize the processing of the interior and exterior of the design and apply the design aspects of Peter Zumthor's Atmospheres themselves as a concept of design. At this culinary center only a few aspects are applied as concepts in interior and exterior design, this adjusts to the needs of the culinary center, the interior of the culinary center emphasizes the body of architecture aspects, material compatibility, between composure and seduction , levels of intimacy and the light on things in the dining, kitchen, gallery and culinary materials stores while on the exterior emphasizes compatibility, the temperature of the space, surrounding objects, tension between interior & exterior and the light on things on the outside buildings and sites. Thus, it is hoped that this culinary center will be able to become a media that can popularize the culinary specialties of Hulu Sungai Selatan.
SMP ISLAM TERPADU INSAN MADANI BANJARMASIN
Authors: Annadiana Annadiana , Wastuty Prima Widia
Published: April 2024

The increasing number of population citizens in Banjarmasin from year to year has an effect on the increasing need for educational facilities, in terms of quality and quantity. Besides the government, the private sector also provides formal education facilities. Insan Madani Integrated Islamic Junior High School Banjarmasin is one of the private schools in Banjarmasin. But the Bina Insan Madani Foundation has not provided a school building that complies with government standards. It is necessary to design Insan Madani Integrated Islamic Junior High School Banjarmasin in accordance with the standards and create an educational atmosphere that can support the learning process. The Architectural Programming method of William Pena was chosen to solve the architectural problem. The Qur’an Educative Space Concept is a design of SMPIT Insan Madani Banjarmasin which makes every room in this school a place of learning. Qur’an Educative space is applied to outer space and inner space, so students can study in every room and memorize the Qur’an well in the school
GALERI ANIMASI DI BANJARBARU
Authors: Rizali Muhammad , Nurfansyah Nurfansyah
Published: April 2024

The development of animation is growing rapidly every year, the use of animation which currently covers all fields, ranging from the world of entertainment to the world of business. The purpose of designing this Animation Gallery is to further introduce animation to the public. Animation Gallery will be designed using analogy methods and themed Hi-Tech Architecture. Animation is analogous to an architectural design by borrowing the principle of movement in the animation itself, namely how the stages of an object moving in an animation. Generally, movement in animation works with 2 elements, namely keyframe and in-between. If in architecture the keyframe is compared as a space and in-between as a circulation.
Investigation of Teaching Gallery in Clinical Teaching of Ultrasonic Medicine
Authors: Chen Xinxin , Chen Ling , Liu Xiaolin , He Jingling , Zhang Lisu
Published: April 2024

In the course of ultrasonic medical teaching, disease images are indispensable. However, the randomness of real-time teaching case resources often affects the smooth development of clinical ultrasound teaching. Based on the picture archiving communication system, the audio-visual images and clinical data of cases were collected and the teaching gallery was established. The gallery can be used for teaching common diseases, rare diseases, new ultrasonic technology and interventional ultrasound to ensure that the teaching content is consistent with the teaching process. It can overcome the uneven distribution of diseases, some patients poor teaching compliance and other practical clinical teaching problems, so as to improve the effect of ultrasonic clinical teaching.
Atividade acadêmica enquanto trabalho: vivências de “prazer-sofrimento” em universitários
Authors: Ghizoni Liliam Deisy , Silva Janaína Vilares da , Santos Marcos Jhones Gomes dos
Published: April 2024

O presente estudo buscou identificar os fatores que contribuem para os processos de prazer-sofrimento de universitários em uma universidade federal do norte do país, que cursaram em 2019/2 a disciplina “Prazer-Sofrimento na Universidade”. Trata-se de uma pesquisa de campo, de abordagem qualitativa e natureza descritiva. Foi aplicado um questionário disponibilizado via Google Forms, compartilhado no grupo de WhatsApp da turma, no qual foram consideradas válidas as respostas de 26 participantes ao se aplicar critérios de inclusão e exclusão. Os dados foram analisados com o auxílio do Excel e utilizando como abordagem teórica a Psicodinâmica do Trabalho. Como resultado, foi identificado que a maior parte dos universitários se sentem sobrecarregados, principalmente com o Trabalho de Conclusão de Curso, o número de disciplinas, a alta carga horária e a desorganização de professores. Todavia, também foram apresentadas fontes de prazer, como a convivência com os amigos, o próprio ato de estudar, as relações interpessoais com os colegas e com os professores. Conclui-se que as vivências de prazer-sofrimento dos universitários são indissociáveis da organização do trabalho experienciada na Universidade.
Effect of Livin' by Mandiri Application Service Quality on Customer Satisfaction: Study on PT Bank Mandiri (Persero) Tbk. Solo
Authors: Damayanti Rosita Mei , Diah Pramesti  , Moch Faizhal Dzaky
Published: April 2024

This research tries to understand the relationship between service quality and customer satisfaction on the Livin’ by Mandiri, a mobile-banking application of Bank Mandiri. The respondents are customers of the Bank Mandiri Solo UNS Branch office. The number of respondents is 100. The data were collected by questionnaire and test using SPSS 23. The result of this study shows that service quality factors such as tangibles, reliable, assurance, and empathy positively affect customer satisfaction. When the Livin’ by Mandiri application improves in terms of the tangibility, reliability, assurance, and empathy, customer satisfaction will increase. The variable of responsiveness has no significant effect on customer satisfaction. The subject of this research is an application that cannot literally become responsive to serve customers. This research result may be important as the policy implication for Bank Mandiri to make the customers able to use the application optimally.
Analysis of Procedures and Effectiveness of Covid-19 Cash Transfer Program (Case Study in Karangsari Village, Kulon Progo)
Authors: Wulaningrum Puspita Dewi , Asrianto Rizal
Published: April 2024

This study aims to determine the procedure and effectiveness of the distribution of the Village Fund Cash Transfer program in Karangsari Village, Subdistrict Pengasih, Kulon Progo Regency. The method used in this study is qualitative method. The type of data used is secondary data obtained from the realization report of the 2021 cash transfer program distribution and primary data obtained from interviews with informants. Data collection techniques are carried out using documentation and interview methods. The results of the study show that the effectiveness of cash transfer distribution in terms of timeliness, target accuracy, and budget accuracy has been running effectively. This can be seen from the qualitative data analysis of the statements expressed by informants in line with quantitative data calculations from the cash transfer distribution realization report which shows 100% figures from all aspects. Likewise, the procedures applied to the distribution process have been running in accordance with the regulations set by the government.
Analysis of Financial Performance of BPKPAD Klaten Regency for the 2018-2022 Fiscal Year
Authors: Syamsi Lathifah Nur , Hananto Santoso Tri , Jannah Miftahul , Hantoro Sri
Published: April 2024

This present study aims to seek out the result of the analysis of the budget realization report of Klaten Regency for the 2018-2022 fiscal year to assess its financial performance. The quantitative descriptive analysis method was utilized in this study. The data were the budget realization report of Klaten Regency for the 2018-2022 fiscal year. The data were collected from Regional Income and Asset Financial Management Agency (Indonesian: Badan Pengelolaan Keuangan Pendapatan dan Aset Daerah, abbreviated BPKPAD) Klaten Regency by using documentation techniques and library research in research journal literature. The results show that based on the variance analysis, regional revenue and expenditure are included in the Good (Favorable) category. Based on the income growth ratio analysis, the result tends to decrease and is categorized as negative. The result of the expenditure growth ratio shows there is an increase and is categorized as positive. Meanwhile, looking at the regional expenditure compatibility ratio analysis, the result shows operating expenditure is more dominant than capital expenditure. Based on the findings, the author advises the Klaten Regency Government to make efforts to maximize various sources of regional revenue as well as allocate regional expenditure appropriately to avoid waste of funds to realize positive growth in revenue and expenditure and create a balance in regional expenditure.
Economic Policy Uncertainty and Enterprise Export Resilience in China: Does the Digital Economy Matter?
Authors: Zhu Xiugang , Ye Yunxin
Published: April 2024

Global economic uncertainty is increasing, and the new round of industrial revolution is developing. With the development of the digital economy, it is crucial to clarify the relationship between economic policy uncertainty and the export resilience of enterprises to build a new development pattern. Based on existing theories, this paper empirically analyzes the weakening effect of economic policy uncertainty on firms' export resilience. The study finds that economic policy uncertainty caused by external shocks significantly weakens the export resilience of firms by increasing export transaction costs. It also explores the impact of the development of the digital economy on this weakening effect with Chinese micro-level data.
Cyrene as Solvent for Metal Nanoparticles Synthesis
Authors: Hernandez-Pagan Emil , Yazdanshenas Ashkan , Bi Jiaying , Lacey Hannah R. , Boski Devin J. , Piza Oscar J. Moreno , Sierra Christian C. Sanchez
Published: April 2024

Enormous advances have been made in the synthesis of metal nanoparticles (NPs) affording high degree of control over their size, shape, and composition. In recent years, a growing effort has been dedicated to incorporating principles of green chemistry in different aspects of NPs, ranging from reagents/solvents to their fate in the environment. In this report, we focus on the use of Cyrene (dihydrolevoglucosenone) as an alternative, green solvent for the synthesis of metal NPs. We begin with the synthesis of Ag NPs, given their prominence in the literature. Through control reactions, we show that Cyrene has a dual role of solvent and reducing agent. Additionally, the conversion yield for the Ag NPs synthesis was studied with respect to temperature and the Ag precursor. We then expand on the synthetic methodology to access Pd, Pt and Bi NPs. The functionality of the synthesized NPs is assessed by employing them as electrocatalyst for furfural reduction and the hydrogen evolution reaction. We envision the use of Cyrene as a green solvent can be extended toward the synthesis of NPs of other metals and classes of materials.
Dynamics of oil slicks on wavy water surfaces
Authors: Lukyanov Alex , Hozan Hanan , Sialounas Georgios , Pryer Tristan
Published: April 2024

We hypothesize that the spread of oil slicks on the water's surface during oil spills is significantly influenced by water wave motion at the initial or intermediate spreading stages, well before emulsification processes have a substantial impact on the oil film's state. We demonstrate that the spreading dynamics of an oil slick on the water surface are facilitated by water waves, employing the thin film approximation. It is shown that water wave motion can rapidly deplete any oil slick, reducing the oil layer's thickness to nearly zero. This mechanism may act as a precursor to emulsification processes, leading to the accelerated depletion of oil spills into a distribution of droplets that form an emulsion.
Optimization of VMD-CNN-BiLSTM Rolling Bearing Fault Diagnosis Model Based on Improved DBO Algorithm
Authors: Sun Weiqing , Wang Yue , You Xingyi , Zhang Di , Zhang Jingyi , Zhao Xiaohu
Published: April 2024

Rolling bearings are important components in mechanical equipment, but they are also a component with a high failure rate. Once a malfunction occurs, it will cause mechanical equipment to malfunction and may even affect personnel safety. Therefore, studying the fault diagnosis methods for rolling bearings is of great significance and is also a current research hotspot and frontier. However, the vibration signals of rolling bearings usually exhibit nonlinear and non-stationary characteristics, and are easily affected by industrial environmental noise, making it difficult to accurately diagnose bearing faults. Therefore, this article proposes a rolling bearing fault diagnosis model based on an improved dung beetle optimizer algorithm(DBO) optimized variational mode decomposition-convolutional neural network-bidirectional long short-term memory(VMD-CNN-BiLSTM). Firstly, an improved DBO algorithm named CSADBO is proposed by integrating multiple strategies such as chaotic mapping and cooperative search; Secondly, the optimal parameter combination of VMD was adaptively determined through the CSADBO algorithm, and the optimized VMD algorithm was used to perform modal decomposition on the bearing vibration signal; Then, CNN-BiLSTM was used as the model for fault classification, and the hyperparameters of the model were optimized using the CSADBO algorithm; Finally, multiple experiments were conducted on the bearing dataset of Case Western Reserve University, and the proposed method achieved an average diagnostic accuracy of 99.6%. Experimental comparisons were made with other models to verify the effectiveness of the proposed model. The experimental results show that the proposed model based on improved DBO algorithm optimized VMD-CNN-BiLSTM can effectively be used for rolling bearing fault diagnosis, with high diagnostic accuracy, and can provide theoretical reference for other related fault diagnosis problems.
Comparative analysis of microwave radiation generated by the interaction between electron beam and plasma under different methods
Authors: Gao Shen. , Liu Jing-Xin , Zhang Jin-Ke
Published: April 2024

This article establishes a physical model of the interaction between surface electron beams and plasma. The dispersion relationship of beam plasma interaction was derived using perturbation method and field matching method respectively, and the influence of different parameters on radiation frequency and bandwidth was studied. The results show that the higher the electron beam velocity, the greater the kinetic energy, and the maximum radiation frequency and radiation bandwidth in the high-frequency part also increase accordingly, while the radiation width in the low-frequency part decreases. The higher the plasma density, the greater the maximum value of the generated radiation frequency, but the radiation bandwidth of the high-frequency part correspondingly decreases, while the radiation bandwidth of the low-frequency part increases. When the electron density and electron velocity of the electron beam remain constant, although increasing the plasma density can increase the microwave radiation frequency, there exists a threshold for the plasma density. When the threshold is exceeded, high-frequency electromagnetic waves will not be radiated.
HAFREE: A heatmap-based anchor-free detector for apple defects
Authors: Kim Jin-Young , Nguyen Bui Ngoc Han , Lee Ju-Hwan
Published: April 2024

Precise inspection of subtle defects on apple surfaces is crucial in real-world agricultural scenarios. However, existing methods often rely on expensive equipment or struggle to detect visually ambiguous defects. To address this challenge, we introduce the Surface Subtle Defects Apple (SSDA) dataset, a custom dataset collected and annotated specifically for this study. Using the SSDA dataset, we propose HAFREE (Heatmap-based Anchor-Free detector), a novel end-to-end object detection architecture designed for localizing subtle defects on apple surfaces. Unlike traditional methods reliant on anchor boxes, our model leverages a heatmap-based detector that represents defects as keypoints using 2D Gaussian kernels. To address the scarcity of labeled data in real-world settings, we propose a patch training strategy that incorporates both full images and cropped patches during training, providing the network with both local and global contextual information. Furthermore, we introduce a Multi-scale Feature Fusion Block (MFFB) to enrich visual patterns and enhance overall performance. Our method achieves an mAP@.5 of 50.05% on the SSDA dataset, outperforming both two-stage and one-stage anchor-based detectors and state-of-the-art anchor-free approaches. HAFREE paves the way for a new paradigm in agricultural defect detection, offering an effective precise solution for real-world applications.
Roles of intra-seasonal oscillations in the sub-seasonal prediction of the long-lasting compound heatwave over southern China in 2010
Authors: Wang Kaiqi , Zhang Tuantuan , Yang Song , Lin Wenshi , Wang Weiwei , Wang Teng , Zhang Chengyang , Dong Shaorou
Published: April 2024

Sub-seasonal prediction of regional compound heatwaves and their predictability sources remain unclear. In this study, the underlying mechanisms for the long-lasting compound heatwave over southern China during 1-18 July 2010, and the major sources of its sub-seasonal prediction skill are identified. The results show that both the development and decay of this compound heatwave are mainly dominated by atmospheric processes (i.e., adiabatic heating associated with anticyclonic circulation), whereas land-atmosphere coupling processes play an important role in sustaining the heatwave. A further analysis indicates that by inducing anomalous anticyclonic circulations over southern China, the tropical intra-seasonal oscillations with periods of 30-60 days and 10-30 days facilitate the occurrence and maintenance of the heatwave during its entire and second half periods, respectively. The NCEP Climate Forecast System version 2 shows a low skill in predicting the 2010 compound heatwave over southern China when the lead time is longer than 2 pentads, which is largely attributed to the model's bias in representing the intensity and phase of intra-seasonal oscillations.
Sero-prevalence of visceral leishmaniasis and associated risk factors among febrile patients attending Metema Hospital, West Gondar Zone, North West Ethiopia
Authors: Tesfaye Solomon , Getu Tibebnesh , Yohanes Tilahun , Bekele Damtew
Published: April 2024

Introduction: In Ethiopia, visceral leishmaniasis (VL) is a public health concern that has been spreading to new endemic foci in recent years. An estimated 3.2 million people are at risk of infection, with 3700–7400 new cases each year. Thus, the study was aimed at determining the prevalence of VL and associated risk factors among febrile patients attending Metema Hospital, North West Ethiopia.
Methods: A hospital-based cross-sectional study was conducted on 404 febrile patients from February 2021 to June 2021. The test for VL was done using an immune-chromatographic test (rK39) according to the manufacturer's instructions (InBios International Inc., USA). An interviewer-administered, pretested questionnaire was used to collect data on risk factors associated with VL. Logistic regression and Chi-square assessed the association between VL and the associated risk factors.
Reults: The overall prevalence of visceral leishmaniasis was 18.8% (76/404), with a higher prevalence of VL in males, in the age category between 21 and 30, in study participants who completed elementary school, and in those who earned less than 500 birr monthly compared to their counterparts. Houses with thatched roofs (adjusted odd ratio (AOR)=17.648, 95CI=6.549,47.563), houses with mud walls (AOR=2.538, 95% CI=1.187-5.411), cattle ownership (AOR=.3.173, 95% CI=1.286-7.826), dog ownership (AOR=2,533, 95%CI= 1.256-5.111), presence of acacia trees near houses (AOR=1.975, 95%CI:1.004-3.886), presence of banalities tree (AOR=3.015, 95%CI=1.610-5.992), and outdoor sleeping (AOR= 2.259, 95%CI: 1.107-14.607) were the predictors of VL in the present study.
Conclusions: In the study area, VL is still very common. Thus, preventing and controlling infection in the area is largely dependent on raising community awareness of VL prevention and control measures and implementing the necessary interventions on the determinants that have been identified.
A Hybrid Koch Embedded Sierpinski Fractal Antenna for Uwb & 5g Applications
Authors: Aravindraj E. , Bibi Rasheeda , Nagarajan G.
Published: April 2024

A Hybrid Koch Embedded Sierpinski Fractal Antenna with Co-Planar Waveguide (CPW) feed for UWB and 5G Applications is proposed. The prototype is mathematically developed for ultra-wide resonance with a miniaturized cross-sectional area. A fractal design resembling a second-order Koch Snowflake fractal embedded to the Sierpinski Arrowhead radiator in a mutually proportional manner, increases the radiation across the entire surface area by extending the effective length of the dielectric. The CPW feed is incorporated into the radiator trace to improve the antenna's Fractional Bandwidth (FBW). The selected dielectric medium, FR-4 (ɛr = 4.4 and δ = 0.02), serves the dual purpose of ensuring structural integrity and enabling the generation of displacement current. The proposed antenna has overall dimensions of 0.45λo x 0.58λo x 0.03λo. The driven radiator exhibits FBW of 170% spanning at 2.45 GHz to 30.5 GHz, along with a peak gain 6.33 dB. The fabricated prototype shows good correlation in testing with a microwave analyzer. T. Thus, the proposed antenna covers a wide range of frequency bands, including S, C, X, Ku, and K-bands. It also covers the entire spectrum of UWB, 5G (Sub-6 GHz band) Frequency Range 1 (FR 1), and the most deployed 5G mm-wave Frequency Range 2 (FR 2) spectrum (24.25GHz to 29.5GHz).
ANXA11-related multisystem proteinopathy with inclusion body myopathy, ALS and FTD: A case report
Authors: Xia Xingyu , Wang Ningning , Zhu Bochen , Cheng Nachuan , Jiao Kexin , Zhang Jialong , Gao Mingshi , Chen Xi , Dong Yi , Zhao Chongbo , Lu Jiahong , Zhu Wenhua
Published: April 2024

ANXA11 mutations link to multisystem proteinopathy (MSP), typically affecting motor neurons. This report describes a 55-year-old man with a rare concurrent presentation of inclusion body myopathy (IBM), amyotrophic lateral sclerosis (ALS), and frontotemporal dementia (FTD), alongside cardiac issues, confirmed by genetic testing as ANXA11-related MSP with a c.118G > T (p.D40Y) mutation. This case underscores ANXA11's broad impact and its critical role in MSP, highlighting unusual multisystem involvement including the cardiac system, thus expanding our understanding of ANXA11 mutation spectra.
Lung recruitment with high frequency ventilation versus volume targeted ventilation in preterm infants with respiratory distress syndrome
Authors: Eldegwi Marwa , Shaltout Ali , Elagamy Osama , Salama Dina , Elshaer Mohammed , Shouman Basma
Published: April 2024

Respiratory distress syndrome (RDS) is one of the most common causes of premature infant respiratory failure. Recently, many techniques for optimizing fetal-neonatal transition and promoting lung recruitment have been accessible. To compare the effect of lung recruitment using high frequency ventilation versus volume targeted ventilation on duration of intubation as well as its effect on lung inflammation in preterm infants with respiratory distress syndrome. Forty preterm infants with RDS were randomly assigned to Group A (LRM with HFOV, n=20) or Group B (LRM with VTV/AC, n=20). TGF-β1 levels measured in BAL samples at two time points. Both groups showed no significant difference in rate of prematurity complications nor delta change of TFG-β1level in tracheal aspirate of those preterm infants measured before lung recruitment and five days after recruitment or at extubation. Conclusions: Lung recruitment maneuver was not associated with significant difference between both groups of preterm infants. The results obtained from our study, being the first of its kind to compare the effect of lung recruitment, provide a promising research area for further investigations.
Weld Image Processing Algorithm Based on Machine Vision Detection and Industrial Internet of Things
Authors: Zhu Yanjun , Wu Zhisheng , Liu Cuirong
Published: April 2024

In order to solve the problem of inaccurate centerline extraction caused by external environmental interference in traditional algorithms for processing weld seam images, which in turn affects the accuracy of robotic arm welding, the author proposes a weld seam image processing algorithm based on machine vision detection and industrial Internet of Things. This method first preprocesses the welding object image by grayscale, histogram equalization, and threshold segmentation. Then, the Canny operator is used to extract the pixel edge lines of the weld seam, and a dedicated centerline extraction algorithm for the weld seam is designed. Finally, an adaptive polynomial welding seam curve fitting algorithm was proposed, and the pixel coordinates of the fitting curve were converted into robot coordinates through a coordinate transformation model, in order to send welding path data to the arc welding robot. The experimental results show that the improved arc welding robot system can autonomously recognize complex weld seam trajectories and generate accurate welding paths, thereby guiding the robot to complete welding operations. The maximum error value is controlled within 0.29 millimeters, which meets the requirements of welding accuracy and shows good processing effect.
Multimorbidity patterns among patients hospitalized with prostate cancer in Portugal: a cluster analysis approach
Authors: Carvalho Patrícia , Souza Julio , Botelho Francisco , Lobo Mariana , Marreiros Goreti , Freitas Alberto
Published: April 2024

Multimorbidity is a common condition among cancer patients, resulting in increased complexity of care and risk of negative outcomes. This study aims to use clustering analysis to identify and characterize multimorbidity patterns among hospitalized prostate cancer patients in Portugal. This is a retrospective observational study using inpatient data from the Portuguese National Hospital Morbidity Database. Data on hospital admissions with a diagnosis of prostate cancer occurring in all public hospitals in mainland Portugal during 2011–2017 were considered. Partitioning clustering algorithms, namely K-modes, PAM (Partitioning Around Medoids), and hierarchical clustering, were used to identify multimorbidity clusters. Results obtained from the different clustering approaches were compared and assessed in terms of clinical relevance. A total of 10394 inpatient episodes were analyzed, with 6091 (58%) reporting multimorbidity. Similar clusters were obtained through the different partitioning approaches, with PAM presenting a higher stability and the best quality results in terms of average silhouette. The analysis of the 6 clusters obtained with PAM reveals groups with a pattern of hypertension co-occurring with diabetes, obesity, and arrhythmia, in addition to cancer itself. In this study, the validity of cluster analysis as an exploratory method for identifying clusters of multimorbid conditions among prostate cancer patients in Portugal was demonstrated, identifying relevant patterns of disease co-occurrence, with potential impact on treatment decisions and outcomes. The identified clusters revealed conditions that typically co-occur with prostate of cancer and that can be controlled throughout all phases of cancer survivorship by means of healthier behaviors aligned with integrated and coordinated care.
A Stitch in Time Saves Nine: a Review of the Infrastructural Construction and the Rising Spate of Building Collapse in Lagos, Nigeria in Comparison With Dubai, Uae
Authors: Aduloju Temidayo Olanrewaju
Published: April 2024

It is high time the Nigerian construction industry stakeholders faced the reality and collectively combated the rising spate of building collapse in some parts of the country before it sinks the industry to an all-time low. Lagos is a state in Nigeria with a land mass area surrounded by the Atlantic Ocean, while Dubai, known in recent times for the reclamation of land which has led to the building of several industrial areas like the Burj Al Arab, Dubai Marina, the World Islands and Palm Islands. Vertical cities construction and industries continue to spring up in Dubai without the menace of building collapse and environmental degradation. However, Lagos State in Nigeria is bedeviled with a lot of saddening stories of building collapse and environmental pollution from the construction of storey buildings and manufacturing industries. Therefore, this study conducted a comparative analysis of the environmental, social and economic sustainability of the two cities in question taking special cognizance of the geographical similarities. A literature review and an in-depth analysis of the likely causes and determining factors of building collapse in Lagos Nigeria, an overpopulated small land mass area surrounded by a large body of water was carried out. Findings from the study revealed the little or no physical site inspection before registering a building, cutting of corners through the use of substandard construction materials and opening of sealed sites by contractors and developers and lack of properly scrutinized approvals especially for multi-storey buildings from government agencies among others as the causes of building collapse in Nigeria. It is recommended that effective policies and education of the stakeholders in the housing and human environmental sector in order to have a sustainably built environment should be given proper attention. Moreover, premium should be placed on establishing construction site monitoring teams all over the nation by the government with the knowledge of the various professional bodies. All these and more will help in protecting the present and future of the Nigerian construction industry in combating building collapse and improving holistic sustainability. Thus, bringing to reality the popular idiomatic expressions that “a stitch in time saves nine”.
Online peer support for mental health in individuals with post-acute sequelae of COVID-19: A pre-post pilot study with mixed methods
Authors: Hazumi Megumi , Miyake Michi , Kataoka Mayumi , Usuda Kentaro , Nishi Daisuke
Published: April 2024

Objective
This pilot examined the effect of online peer support on mental health problems among individuals with post-acute sequelae of COVID-2019 (PASC).
Methods
A single-arm pre-post design of online peer support design consisting of eight sessions of 1 h per week with three to six participants and two facilitators per group was performed. Participants were recruited from online communities, social media, and medical clinics for the PASC between May and August 2023. The degrees of depression, anxiety, loneliness, social withdrawal, and self-esteem were measured pre- and post-intervention. Participants’ statements during the sessions were analyzed using thematic analyses.
Results
Of the 18 participants, 3 dropped out of the interventions, and 17 (including 2 participants who dropped out) completed the pre- and post-intervention questionnaires. Depression severity significantly decreased in the paired t-test and linear mixed model. The following interactions were extracted: conveying the same feelings, dealing with difficulties, showing empathy, enhancing the atmosphere, and adapting to suit health conditions. Impressions extracted from participating in the interventions included feelings of emotional support, a sense of bonding, changes in perspective, changes in behaviors or new actions through participation, inadequacy during sessions, and adverse effects associated with participation.
Conclusion
Online peer support may be helpful in treating depression in individuals with PASC.
Slip-resistant mechanism of bio-inspired foot end based on particle morphology and friction on ice and frozen ground
Authors: Li Guoyu , Zhang Rui , Chen Kaixiang , Pang Hao , Zhang Rui , Wen Lige
Published: April 2024

The attachment characteristics of the mechanical foot end are crucial for enhancing the traversability and locomotion of robots on extreme terrains. In this study targeting the reindeer touchdown unit, four bio-inspired foot ends and one conventional multi-baffle foot end were designed. Dynamic friction data of the bio-inspired foot ends were collected under various ground conditions, and the macro- and micro-structures of these surfaces were analyzed. The impacts of multiple factors on the attachment performances of the bio-inspired foot ends were explored, including the moisture content and compactness of frozen soil, and the ridges and convex crowns of foot ends. Additionally, a sliding/rolling friction conversion model was proposed to describe the interaction between the foot ends and frozen soil. When the ends interacted with the frozen ground and simulant for water-ice lunar soil, the attachment of the bio-inspired ribbed foot end and convex-crown was the best, and its dynamic coefficient of friction (DCOF) increased by 24.19%-44.68% and 35.14%-51.47% than the multi-baffle foot end. Upon interacting with the ice surface, the bio-inspired ribless foot end and non-convex crown demonstrated the best attachment performance. The DCOFs of these designs increased by about 24% compared to the multi-baffle foot end. The attachment performances of foot ends were more affected by moisture content compared with the compacted state of frozen ground. Compared to the ribless and non-convex-crown structures, the structures of ribs and convex-crown increased DCOF by 1%-15% and 18%-42%, respectively. Therefore, the effect of convex-crowns was greater than that of ribs. This study can improve the adaptability and traversability of robots on extreme terrains, which is of great significance for their applications in exploring polar regions, the moon, and other harsh environments.
Outlier detection in classification based on feature-selection-based regression
Authors: Su Jinxia , Liu Qiwen , Cui Jingke
Published: April 2024

The appearance of outliers results in a complexity to achieve an accurate classify. This paper aims to the detection and identification of outlier before selecting a suitable classifier. The problem is firstly converted to an high-dimensional regression, then we propose a novel method on combination of multiple-correlation-coefficientbased feature selection for dimensional reduction, t−test for sparsification, an iterated algorithm is also given. Performance on simulated numerical data and applications to low-dimensional iris data as well as high-dimensional DBWORD E-mail data demonstrate the superiority of the proposed method in outlier identification.
Predictors of Health-Promoting Lifestyle Behaviors Among Pregnant Women of Siyari Rural Municipality, Rupandehi, Nepal
Authors: Dhungana Mahalaxmi , Kaphle Hari Prasad , Shrestha Niranjan
Published: April 2024

Background: Health-promoting lifestyle behaviors are self-initiated behaviors that focus on life promotion through lifestyle which consists of different aspects to enhance the level of well-being. The lifestyle adopted during pregnancy has a long-term effect on the health and life quality of both mother and child.
Purpose: This study aimed to assess predictors of health-promoting lifestyle behaviors among pregnant women of Siyari Rural Municipality, Rupandehi.
Methods: A community-based cross-sectional analytical design was carried out in Siyari Rural Municipality, Rupandehi, Nepal. Data was collected from 15th June to 15th July 2023, among 229 pregnant women. A probability proportionate sampling technique was implemented to select total participants and a pregnant was selected randomly. With ethical approval from Pokhara University, the IRC, and maintaining all ethics face-to-face interviews were conducted using a pretested structured questionnaire. Data was 3.1 entered into Epi-Data and analysis was done using IBM SPSS Statistics 26.
Results: The mean score of health-promoting behavior was 123.09 ± 13.34, and 72.9% of participants had a moderate level of health-promoting lifestyle behavior. Subscale scores showed low scores in physical activity 8.79 ± 1.66 and stress management 15.13 ± 2.09. Ethnicity (Exp B=10.98, 95% CI=3.762-32.074), education level of the participant (Exp B=13.943, 95% CI=2.655-73214), and number of antenatal checkup visits during last pregnancy (Exp B=3.815, 95% CI=1.102-13.207) were the greatest predictors of health-promoting lifestyle behavior among pregnant women.
Conclusion: Pregnant women had moderate levels of health-promoting behavior however, there were low scores in physical activity and stress management. Ethnicity, education of the participant, and number of ANC visits during the last pregnancy were the greatest predictors of health-promoting lifestyle behaviors during pregnancy. They need to pay proper attention to predictors of health-promoting lifestyle behaviors to improve their behaviors during pregnancy.
The Effect of Physical Fitness on Psychological Health: Evidence from Chinese College Students
Authors: Ma Shuzhen , Xu Yanqi , Xu Simao , Guo Zhicheng
Published: April 2024

Objective
The connection between physical and mental health is frequently discussed, yet the influence of physical fitness on mental well-being remains to be definitively established.
Method
This study conducted descriptive statistics analysis on the total score of Sport Quality test and SCL-90 scale test results of the total sample, respectively. Then the independent sample t test was used to compare differences between psychological state among seven Sport Quality indicators. Logistic regression analysis was used to assess the impacts of scores of sport quality indicators on students' psychological state. The dependent variable is divided into two categories: normal (record as 1) and abnormal (record as 2), this study uses the binary logistic regression model to explore the impacts of scores of sport quality indicators on students' psychological state.
Results
BMI, vital capacity, and endurance running scores impact indicators of mental health, while scores for reaction time, lower limb explosiveness, flexibility, and muscle strength have no effect on mental health indicators.
Conclusion
Lowering BMI, increasing vital capacity, and enhancing endurance running have demonstrated promising effects on multiple aspects of mental health, suggesting their potential value in promoting overall well-being.
Identification of novel genes associated with herbicide tolerance in Lentil (Lens culinaris ssp. culinaris Medik.).
Authors: Balech Rind , Maalouf Fouad , Kaur Sukhjiwan , Jighly Abdulqader , Joukhadar Reem , Alsamman Alsamman M. , Hamwieh Aladdin , Khater Lynn Abou , Rubiales Diego , Kumar Shiv
Published: April 2024

Weeds pose a major constraint in lentil cultivation, leading to decrease farmers’ revenues by reducing the yield and increasing the management costs. The development of herbicide tolerant cultivars is essential to increase lentil yield. Even though herbicide tolerant lines have been identified in lentils, breeding efforts are still limited and lack proper validation. Marker assisted selection (MAS) can increase selection accuracy at early generations. Total 292 lentil accessions were evaluated under different dosages of two herbicides, metribuzin and imazethapyr, during two seasons at Marchouch, Morocco and Terbol, Lebanon. Highly significant differences among accessions were observed for days to flowering (DF) and maturity (DM), plant height (PH), biological yield (BY), seed yield (SY), number of pods per plant (NP), as well as the reduction indices (RI) for PH, BY, SY and NP. A total of 10,271 SNPs markers uniformly distributed along the lentil genome were assayed using Multispecies Pulse SNP chip developed at Agriculture Victoria, Melbourne. Meta-GWAS analysis was used to detect marker-trait associations, which detected 125 SNPs markers associated with different traits and clustered in 85 unique quantitative trait loci. These findings provide valuable insights for initiating MAS programs aiming to enhance herbicide tolerance in lentil crop.
Forecasting adoption trends for adaptive management of conservation scaling
Authors: Clark Matthew , Pienkowski Thomas , Jagadish Arundhati , Archibald Carla L. , Gelcich Stefan , Govan Hugh , Naidoo Robin , Romero-de-Diego Cristina , Weeks Rebecca , Mills: Morena
Published: April 2024

Achieving global climate, development, and biodiversity goals will require bringing conservation interventions to scale in suitable contexts and with appropriate timing. Practitioners and policymakers have a range of actions available to influence where, when, and by whom an initiative is adopted. Yet, to make effective management decisions, they must have a clear view of the current trajectory towards scaling goals. The non-linearity and variability of scaling processes has, however, hindered forecasting of adoption trends and environmental outcomes. Here, we adapt models of disease transmission to present a simple and flexible modeling structure for forecasting the adoption of conservation initiatives. We tested this framework on empirical adoption data from 19 distinct initiatives. Specifically, we fit the shape of the adoption timeline during the first half of each initiative, estimating the rates of independent uptake and social transmission up to that point. Forecasting the latter 50% of the timeline of cumulative adoption using just these two parameters resulted in an out-of-sample average error of 15.9% across all observations, indicating that this simple formulation captures much of the data-generating process. In one case, we included data on conservation abandonment, extending the cumulative adoption model to estimate the dropout rate and predicting net adoption with an average error of 19.6%, also indicative that this model captures the empirical process reasonably well. We caution against using such models for long-term forecasts, as they are sensitive to multiple assumptions, but instead advocate for their use in adaptive management. Iterative comparisons of forecasts allow users to retrospectively evaluate the impact of decisions and investments. When combined with estimates of environmental outcomes, our framework may provide a comprehensive modeling strategy for identifying targeted management actions and forecasting the impact of conservation projects while considering dynamic social processes.
A stakeholder-driven holistic approach to mitigate drought in Ramsar wetlands: evaluation of nature-based solutions using interval analytic hierarchy process
Authors: Ždero Senka , Srđević Bojan , Srđević Zorica
Published: April 2024

Wetland ecosystems are vital in maintaining the ecological balance of the wider area. The increase of frequent and intense droughts due to accelerated climate changes poses a threat to wetlands as fragile ecosystems which further require a holistic approach and cooperation between stakeholders to define long-term sustainable solutions. This paper focuses on identifying nature-based solutions to mitigate drought in Ramsar-designated sites through understanding the preferences of stakeholders for effective implementation. An interval version of the analytic hierarchy process is proposed as a systematic framework for selecting solutions considering multiple objectives (climate change mitigation, biodiversity preservation, and human welfare) and six alternatives applicable to Ramsar wetlands. The Serbian case study demonstrates the evaluation of alternatives using interval values in pairwise comparison matrices and priority weights were computed by linear programming. Top-ranked measures identified by three experts involve increasing water availability, supporting agroforestry practices, and utilizing natural reservoirs. Mulch and wastewater reuse are excluded due to implementation investments. The added value of the proposed approach is that the results can be used by managers and decision-makers in many ways; for example, weights of the alternatives could indicate resource allocation, while rankings serve as indicators for optimizing the number of applied solutions.
„Uciec od dziennikarzy się nie da” – nowy styl komunikacji medialnej abp. Józefa Glempa po nominacji na urząd prymasa Polski (7 lipca 1981 roku)
Authors: Kindziuk Milena
Published: April 2024

Prymas Polski Józef Glemp obejmował urząd w zupełnie odmiennej rzeczywistości medialnej niż obecna, w czasach panującej w PRL-u państwowej cenzury. Mimo to podjął współpracę z dziennikarzami. Celem niniejszego artykułu jest zbadanie stylu komunikacji medialnej abp. Józefa Glempa w pierwszych tygodniach po nominacji na urząd prymasa Polski, w okresie od 7 lipca 1981 do 14 września 1981 roku. Materiał badawczy stanowi prasa polska i zagraniczna z okresu lipiec – wrzesień 1981. Dokonano również przeglądu wypowiedzi prymasa dla telewizji polskiej w tym samym okresie oraz przeprowadzono kwerendę dokumentów związanych z początkami sprawowania urzędu prymasa zgromadzonych  w trzech archiwach: Archidiecezji Warszawskiej, Sekretariatu Prymasa Polski w Warszawie oraz Konferencji Episkopatu Polski w Warszawie. Przyjęto metody badawcze: desk research, metodę analizy zawartości oraz – pomocniczo – metodę analizy kontekstu dyskursu prasowego. Jak wskazują wyniki podjętej w niniejszym artykule analizy, prymas Polski Józef Glemp stworzył nowy styl komunikacji i współpracy duchownych z mediami oraz przyczynił się do otwarcia Kościoła na media.