bluuebunny/crossref_metadata_2025 huggingface dataset:
Edukasi Ibu Hamil terhadap Pentingnya memenuhi Kebutuhan Gizi Sejak Hamil sebagai Upaya Pencegahan Stunting
Authors: Hidayat Taufik , Fatkhanudin Aldi
Published: June 2024

Asupan gizi yang tidak optimal pada masa kehamilan berperan meningkatkan bebanmasalah gizi ganda dan penyakit kronis di masa depan. Disamping itu, kualitas sumberdaya manusia akan terhambat akibat rendahnya kemampuan kognitif pada jangkapanjang. Kegiatan pengabdian ini bertujuan untuk meningkatkan pengetahuan ibu tentangpentingnya memenuhi kebutuhan gizi sejak hamil. Kegiatan dilakukan menggunakanmetode edukasi ceramah dan diskusi. Peserta sosialisasi terdiri dari tujuh orang yangmerupakan ibu hamil di Dusun Krajan Desa Kalipelus Kecamatan Kebonagung. Adapuntujuan dari pengabdian ini adalah meningkatnya pemahaman ibu hamil tentangpemenuhan gizi dan pengetahuan tentang gizi serta meningkatkan kesadaran dalammemenuhi kebutuhan gizi pada ibu hamil. Hasil daripada kegiatan ini disimpulkan bahwapartisipasi peserta kegiatan sangat antusias. Hal ini dapat dibuktikan dengan absensikehadiran sebanyak 100% yang terdiri dari tujuh orang ibu hamil dan dihadiri 2 kaderPosyandu. Seluruh peserta mengikuti serangkaian acara dari awal sampai akhir denganbersemangat. Edukasi gizi seperti ini diharapkan dapat dilanjutkan dengan pelatihan giziuntuk meningkatkan kemampuan dalam memenuhi kebutuhan gizi
Dynamic nexus between poverty and indicators for sustainable transportation in MENA countries: Evidence from panel PMG-ARDL approach
Authors: Ouni Manel , Abdallah Khaled Ben
Published: June 2024

Sustainable transportation indicators have attracted significant attention from policymakers, engineers, and academics. This heightened interest can be attributed to the transportation industry's impact on economic growth, poverty alleviation, and the environment. While numerous studies have explored the relationships between the transportation sector, poverty, economic growth, and environmental degradation on a global scale, there is a noticeable research gap concerning the Middle East and North Africa (MENA) region. This study addresses this gap by investigating the nexus between poverty, transportation-related CO2 emissions, economic growth, trade openness, urbanization, road infrastructure and transportation energy consumption in 14 MENA regions from 1983 to 2021. To achieve this objective, this investigation employs the panel pooled mean group-autoregressive distributed lag (PMG-ARDL) model to explore the long-term relationships among these variables. The findings, as revealed by the Dumitrescu-Hurlin panel causality, show a reciprocal relationship between poverty, transportation-related CO2 emissions and economic growth. Moreover, the study identifies a unidirectional relationship running from road infrastructure to poverty. Additionally, a unidirectional causality runs from both economic growth and poverty to transportation-related energy consumption. Furthermore, a bidirectional causality exists between trade openness and transport CO2 emissions, and a unidirectional causality running from trade openness to economic growth. These findings emphasize the importance of policymakers to adopt strategies that equally prioritize poverty alleviation, environmental sustainability, and economic development to attain sustainable transportation in MENA region.
A new objective diagnostic method for CHF that lays the foundation for objective classification and precision medicine for chronic heart failure
Authors: Vanni Rosalba
Published: June 2024

Algebraic equations from a mathematical model to experimental data relating to venous and arterial blood (HCO3-, \({\text{P}\text{C}\text{O}}_{2}\)), cardiac output, and exhaled \({\text{V}\text{C}\text{O}}_{2}\) of a group of patients with chronic heart failure (CHF) belonging to New York Heart Association class III were applied. The aim of this study was to verify whether several measurable physiological parameters were significantly different among three different groups (CHF class III patients, a control group of the same age, and a group of young and athletic subjects) and, therefore, to verify whether the algebraic equations used were useful for objectively diagnosing patients with CHF. The comparison among the results of the three groups was extremely significant, so much to unquestionably highlight the class III CHF group compared to the other two groups and therefore allowing the CHF group to be objectively characterized both at rest and during exercise. This new diagnostic method performed a first objective pathophysiological characterization of CHF class III patients, laying the foundation for an objective classification of the four classes of CHF patients and subsequent precision medicine.
Voiding Cystourethrography – Do We Over-do It?
Authors: Zivkovic Dragana , Fratric Ivana , Lukic Maja Samardzic , Ostoic Marijana
Published: June 2024

Background: Voiding cystourethrography is primary used to detect vesico-ureteric reflux and is considered “gold standard” diagnostic examination for this condition. It can be ordered by pediatricians, nephrologists, emergency room pediatricians and urologists. Negative effects of Voiding cystourethrographyinclude its invasiveness, radiation exposure and risk of iatrogenic urinary tract infection. Our aim is to determine if we can reduce the number of voiding cystourethrography examinations performed at our Institute.
Methods: Retrospective study was conducted with approval of the Ethical Review Board using clinical data of the patients who underwent voiding cystourethrography over the period of 12 months. Indicators (age of the patient, gender, referring specialist – urologist or nephrologists and indications for voiding cystourethrography) were analyzed using Chi-square, Fisher’s exact and Mann-Whitney test. Possible impact of the above mentioned indicators on the result of the voiding cystourethrography was analyzed using logistic regressive analysis.
Results: Total of 197 voiding cystourethrographies were analyzed. Mann-Whitney U test did not show statistically significant age difference between the patients with normal (median age 3 years) and pathologic (median age 2.5 years) findings on voiding cystourethrography (Z=-0.415, p=0.678). Chi-square test showed that patients with single urinary infection and other indications have a higher chance of normal result on voiding cystourethrography (0.041 and 0.011 respectively). Logistic regressive analysis showed that patients whose referring specialist was
urologist had 2.06 times higher chance for having pathologic finding on voiding cystourethrography (b=-0.810, p=0.007, odds ratio=0.445) compared to those referred by nephrologists.
Conclusions: It is used as the “gold standard” radiographic test to diagnose vesicoureteral reflux. It is however associated by necessary radiation exposure. At our Institute pediatric urologists indicate voiding cystourethrography more cautiously compared to pediatric nephrologists. By avoiding voiding cystourethrography after single urinary tract infection and for other indications we could reduce the number of voiding cystourethrographies performed.
Increased expression of REG3A promotes tumorigenic behavior in triple negative breast cancer cells
Authors: Jin Xiaoxia , Yang Shuyun , Lu Xiaoyun , Chen Xudong , Dai Wencheng
Published: June 2024

Background:Identifying new targets in triple negative breast cancer (TNBC) remains critical. REG3A (regenerating islet-derived protein 3A), a calcium-dependent lectin protein, was thoroughly investigated for its expression and functions in breast cancer.Methods:Bioinformatics and local tissue analyses were employed to identify REG3A expression in breast cancer. Genetic techniques were employed to modify REG3A expression, and the resulting effects on the behaviors of breast cancer cells were examined. Subcutaneous xenograft models were established to investigate the involvement of REG3A in the in vivo growth of breast cancer cells.Results:Analysis of the TCGA database uncovered increasedREG3Alevels in human breast cancer tissues. Additionally,REG3AmRNA and protein levels were elevated in TNBC tissues of locally treated patients, contrasting with low expression in adjacent normal tissues. In primary human TNBC cells REG3A shRNA notably hindered cell proliferation, migration, and invasion while triggering caspase-mediated apoptosis. Similarly, employing CRISPR-sgRNA for REG3A knockout showed significant anti-TNBC cell activity. Conversely, REG3A overexpression bolstered cell proliferation and migration. REG3A proved crucial for activating the Akt-mTOR cascade, as evidenced by decreased Akt-S6K1 phosphorylation upon REG3A silencing or knockout, which was reversed by REG3A overexpression. A constitutively active mutant S473D Akt1 (caAkt1) restored Akt-mTOR activation and counteracted the proliferation inhibition and apoptosis induced by REG3A knockdown in breast cancer cells. Crucially, REG3A played a key role in maintaining mTOR complex integrity. Bioinformatics identified zinc finger protein 680 (ZNF680) as a potential REG3A transcription factor. Knocking down or knocking out ZNF680 reduced REG3A expression, while its overexpression increased it in primary breast cancer cells. Additionally, enhanced binding between ZNF680 protein and the REG3A promoter was observed in breast cancer tissues and cells.In vivo, REG3A shRNA significantly inhibited primary TNBC cell xenograft growth. In REG3A-silenced xenograft tissues, reduced REG3A levels, Akt-mTOR inhibition, and activated apoptosis were evident.Conclusion:ZNF680-caused REG3A overexpression drives tumorigenesis in breast cancer possibly by stimulating Akt-mTOR activation, emerging as a promising and innovative cancer target.
A massive and potentially ancient antipatharian colony at a seamount in the Northwest Pacific
Authors: Reimer James Davis , Yanagi Kensuke , Castelló Guillermo Mironenko , Yokooka Hiroyuki , Koeda Keita , Tsuchida Shinji , Fujiwara Yoshihiro
Published: June 2024

Anthozoans are ecosystem engineers and contribute to creating intricate benthic communities that often harbor high levels of marine biodiversity. Here, we report on an extraordinarily large antipatharian colony observed on the Ritto Seamount in the Northwest Pacific. Based on colony form and DNA barcoding results, we identified the colony as Leiopathes cf. glaberrima. From in situ observations, we estimate the size of the colony as approximately 308 cm in height, 441 cm in width, with a central stem of 27.9 cm in diameter. If growth rates of Leiopathes species in this region of the Pacific Ocean are similar to those previously reported from Hawai’i, this colony may potentially be approximately several thousand years old, placing it among the longest-lived marine organisms reported. Seamounts in this region and such large antipatharians and other anthozoan colonies should be targeted for more biodiversity investigation and future conservation.
Assessing Drinking Water Quality in El-Oued, South-East Algeria, Utilizing the Groundwater Pollution Index (GPI) and the Synthetic Pollution Index (SPI) model
Authors: ZAIR NADJET , ATTOUI BADRA , MILOUDI ABDELMONEM , ABDERRAHMANE KHECHEKHOUCHE , SOUYEI BELGACEM
Published: June 2024

To assess the suitability of deep groundwater in El-Oued for drinking purposes and quantify its hydrochemical characteristics, a study was conducted on 22 boreholes. The alteration and dissolution of carbonates, evaporates, salts, and partly silicates, ion exchange, and evaporation are the main hydrogeochemical progressions leading to water salinization. The combination of these processes, in an environment conducive to the concentration of dissolved elements, has positively contributed to the evolution of the salinity of these waters in the research region. The results of Groundwater Pollution Index (GPI) show that 18.18%, 54.54%, and 27.27% were weakly polluted, moderately, and highly polluted for drinking consumption, respectively. The examination of the Synthetic Pollution Index (SPI) findings indicates that 9.09% were deemed potable, while 36.36% exhibited weak pollution, 36.36% displayed moderate pollution, and 18.18% were classified as highly polluted for drinking purposes. Potable water sources are generally limited and are located in the northeast and in the vicinity of the city of Ourmes in the study zone according to the spatial distribution maps of GPI model and SPI model.
Increased adherence to influenza vaccination among family paediatricians of the Palermo Local Health Authority, Italy: a study on safety and compliance of Nasal Spray Live Attenuated influenza quadrivalent vaccine (qLAIV)
Authors: Costantino Claudio , Tramuto Fabio , Bonaccorso Nicole , Giudice Maria Carmela Lo , Balsamo Francesco , Carubia Alessandro , D'Azzo Luciano , Fruscione Santo , Sciortino Martina , Vitello Tania , Zagra Luigi , Pieri Alessia , Rizzari Rosaria , Serra Gregorio , Palermo Mario , Randazzo Maria Angela , Palmeri Sara , Asciutto Rosario , Corsello Giovanni , Graziano Giorgio , Maida Carmelo Massimo , Mazzucco Walter , Vitale Francesco
Published: June 2024

Background: Influenza represents a serious public health threat, especially for the management of severe cases and complications of the disease, requiring the implementation of control measures. We aimed to assess the acceptance and impact of qLAIV vaccination among a representative sample of family paediatricians (FPs) operating in Palermo Local Health Authority (LHA). To this end we evaluated vaccination coverage rates, comparing it with that observed in Sicilian context, while actively monitoring possible adverse reactions and their severity.
Methods: An observational descriptive non-controlled study was conducted in two phases, from September 2022 to June 2023. The first phase involved a formative and educational intervention with a pre-intervention questionnaire to assess the knowledge and attitudes of FPs on paediatric influenza vaccination. The second phase consisted of an active surveillance on qLAIV safety and acceptance among the paediatric population assisted by the participating FPs, from October 2022 to April 2023. Frequencies, chi-squared tests, and comparisons statistics were performed using Stata/MP 14.1.
Results: The overall coverage rate among the paediatric population involved in the intervention was 13.2%, with an I.M./qLAIV ratio of vaccine administered of 1/4.25. This coverage rate was significantly higher (p-value <0.001) when compared to the average values reported in the population under the Palermo Local Health Authority (LHA) (6.7%) and in the entire Sicily (5.9%). Adverse events in the qLAIV group were mild, with only 3.3% experiencing them, primarily presenting as a feverish rise (3.2%). No severe adverse reaction was reported.
Conclusions: The educational intervention significantly raised paediatric influenza vaccination rates among the participating FPs, and in general improved influenza vaccination coverage rates in the Palermo’s LHU. Minimal, non-serious adverse events underscored the vaccine's safety. Training sessions ensured paediatricians stayed informed, enabling them to provide comprehensive information to parents for secure and informed vaccination decisions in their practices.
Harmful Brain Activity Classification of Spectrograms with Transfer Deep Learning
Authors: Ganesan Sambhu , Kiran Yajat Nagaraj , Ram Shanker
Published: June 2024

Electroencephalograms are medical tests used by doctors to determine any irregular brain activity in patients. The drawn-out process of manually classifying each of these signals can be time-consuming, costly, and even subjective among neurologists. We make use of the HMS dataset to classify spectrograms of brain activity into one of six abnormal brain activities. By applying basic data preprocessing techniques, we show the potential and power of using signal processing techniques like the Short-Time Fourier Transform and the Continuous Wavelet Transform in creating an accurate prediction model. By training on images of spectrograms and EEG signal plots, we create a three-model ensemble that can accurately predict brain abnormalities, easing the load off physicians. Our research showcases the potential of transforms in signal processing tasks
Categorising content of Paris Agreement NDCs through computational linguistics
Authors: Savin Ivan , King Lewis , Bergh Jeroen van den
Published: June 2024

Parties to the Paris Agreement have submitted nationally determined contributions (NDCs) stating their mitigation goals. NDCs vary considerably among countries in length, format and content. Despite the depth of information in NDCs, existing research has focused on mitigation targets, which occupy a small fraction of texts. We undertake systematic analysis of the full textual content of all countries’ NDC documents using natural language processing, allowing the classification of information and objective identification of differences in aims, strategies and policies. Seven broad topic groups emerge, such as development, implementation, and stakeholders, along with 21 constituent topics with sustainable development being the largest. We find that parties devoting a larger share of their NDC to core mitigation topics tend to have more ambitious emission reduction targets. Our results warrant deeper consideration of NDC content to establish best practices, ensuring communication of concrete policies to improve credibility and transparency of national climate plans.
Application Value of CEUS LI-RADS v.2017 in Focal Liver Lesions of Patients with a High Risk for Hepatocellular Carcinoma
Authors: Chen Huihui , Yang Dan , Wang Huihui , Hu Jin Ming
Published: June 2024

Purpose
This goal of this research is to investigate the practical value with regards to the data system (LI-RADS) v.2017 as well as contrast-enhanced ultrasound (CEUS) liver imaging reporting for focal liver lesions (FLLs) in patients at high-risk of hepatocellular carcinoma (HCC).
Method
The research included 127 high risk patients with HCC, comprising a total of 148 FLLs. All lesions were verified through pathology. Relying on CEUS LI-RADS v.2017, two independent radiologists categorized the lesions and evaluated inter-observer agreement by Cohen’s kappa. Finally, the classification of inconsistent lesions was discussed and agreed upon. The diagnostic accuracy of each classification was calculated based on the pathological results.
Results
The cohort included 108 males and 19 females, aged 37–82 (mean = 59.93 ± 10.09) years, with a lesion size range of 0.8–15 (mean = 3.95 ± 2.88) cm. Through the Kappa test, the interobserver agreement was high in the classification of FLLs (ĸ = 0.670, P = 0.000). Of the 148 FLLs, 4 and 3 lesions were categorized as an LR-1 and LR-2, correspondingly, all of which were pathologically benign. 6 lesions were categorised as an LR-3, comprising 3 benign and 3 malignant lesions. The diagnostic accuracy of benign versus malignant lesions was approximately 50%. 18 lesions were categorised as LR-4 including 13 malignant lesions (13/18, 72.22%); 102 lesions were categorized as LR-5, with 101 pathologically confirmed malignant lesions (101/102, 99.02%); 8 lesions were categorized as LR-TIV and all of them were malignant; finally, 7 lesions were classified LR-M and with 5 confirmed malignancies (5/7, 71.43%).
Conclusions
LR1/2 and LR4/5/TIV/M demonstrated a high degree of diagnostic accuracy for the delineation between benign and malignant lesions respectively. The classification criteria demonstrated reliable interobserver consistency for the classification of FLLs.
Integrated factors associated with ostomy patients’ self management behaviors and peristomal skin complications using structural equation model: a cross-sectional study in Shanghai, China
Authors: Ma Lili , Zhang Yajuan , lv Guifen , Zhuang Huiren , Zhang Weiying , Jiang Hui
Published: June 2024

Purpose
Peristomal skin complications are major problems for ostomy patients. Social support, self efficacy and self management behaviors are vital for ostomy patients. The objective of this study is to explore the interrelationships of social support, self efficacy and self management behaviors among ostomy patients with peristomal skin complications.
Methods
A cross-sectional study was conducted with 265 ostomy patients from Shanghai, China, using a questionnaire survey including the Chronic Disease Self-Management Study Program (CDSSP), Self-efficacy for Managing Chronic Disease (SEMCD-6), and Medical Outcomes Study-Social Support Survey (MOS-SSS).
Results
Out of 265 ostomy patients, 184 (69.43%) did not have PSCs while 81 (30.57%) did. Significant differences (P<0.01) were observed in social support (MOS-SSS) and self-management behaviors (CDSSP) between ostomy patients with and without PSCs, with no significant difference in self-efficacy (SEMCD-6). The model fit statistics showed χ2/DF = 1.38; GFI = 0.973, CFI = 0.985, and RMSEA = 0.038. Social support positively predicted self-efficacy (β = 0.31, P<0.01), self-efficacy predicted self-management behaviors (β = 0.35, P<0.01), and social support predicted self-management behaviors (β = 0.32, P<0.01). Mediation analysis revealed that social support influences self-management behaviors through self-efficacy (mediation effect = 0.110, 95% CI = 0.019–0.250).
Conclusion
Social support and self-efficacy play significant roles in the self-management behaviors of ostomy patients, highlighting the importance of healthcare professionals recognizing predictors for PSCs management and providing support to vulnerable ostomy patients.
An Efficient Technique for Sharing Secret Information
Authors: Singh Upasana , SINGH V B
Published: June 2024

Bhardwaj[11] has recently proposed a method for reversible data hiding in a cover image, which has a very high data hiding capacity. This technique sometimes does not work properly. Singh-Singh[12] has overcome its limitation, which also has very good data hiding capacity. We find that the Singh-Singh’s method does not hide the confidential data in all pixels. We improve the Singh-Singh’s method so that it can hide the secret data in all image pixels if required. Our proposed method can hide 2.49 bits of confidential data in a byte, whereas the Singh-Singh’s method can hide 2.24 bits of confidential data in a byte.
Association of Wide Pulse Pressure with Coronary Collateral Flow in Patients with ST- Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention
Authors: Yılmaz Cemalettin , Şengör Büşra Güvendi , Karaduman Ahmet , Tiryaki Muhammet , Kültürsay Barkın , unkun tuba , Zehir Regayip
Published: June 2024

Coronary collateral flow (CCF) plays a protective role in myocardial viability. Pulse pressure (PP) is defined as the difference between systolic blood pressure (SBP) and diastolic blood pressure (DBP), has been associated with various cardiovascular diseases. However, the relationship between wide PP (WPP) and CCF in ST elevation myocardial infarction (STEMI) patients remains limited. Our objective was to assess how WPP impacts CCF in patients with STEMI undergoing primary percutaneous coronary intervention (p-PCI). This retrospective, single center study included 1180 STEMI patients underwent p-PCI in a tertiary healthcare center between 2021 and 2023. Patients were classified into two groups (good and poor CCF) based on the CCF status (Rentrop 0 and 1: poor CCF; Rentrop 2 and 3: good CCF). WPP was defined as PP ≥ 65 mmHg. Multivariable logistic regression included two distinct models was used to identify independent predictors of good CCF. A total of 272 patients (23.1%) were assigned to good CCF group while 908 patients (76.9%) were categorized into the poor CCF group. WPP was identified a negative independent predictor for good CCF (OR: 0.511, 95% CI: 0.334–0.783, p = 0.002). Moreover, diabetes mellitus, pre-infarction angina, Killip class III/IV, multivessel disease, and pre-TIMI (thrombolysis in myocardial infarction) flow 0 were also found to be independent predictors of CCF. WPP, derived from blood pressure measurements was associated with CCF in STEMI patients undergoing p-PCI. Moreover, in contrast to SBP, DBP, mean arterial pressure, and even PP, WPP was found to predict poor CCF.
Exploring Citation and Author Collaboration Network with Graph Database
Authors: Yadav Jyoti , Bhandari Mayuri , Nikam Punam
Published: June 2024

There are several research papers available online that span a wide range of disciplines. Researchers are using this data through search engines, digital libraries and professional networks. To make effective use of this data we propose building a citation network consisting of papers, authors and citations. Complex queries based on connections can be best handled by graph databases like Neo4j. Neo4j is a graph database that is specially designed for interconnected data. Neo4j represents data in the form of nodes and relationships and uses Cypher query language for CRUD (CREATE, READ, UPDATE and DELETE) operations. The proposed study, uses DBLP citation dataset to model citation and author collaboration networks using Neo4j. The expressiveness of Cypher query language in extracting insights from vast bibliographic data has been explored. The citation and author collaboration networks are analyzed to identify influential papers, influential authors, co-author networks, and to compute researcher’s impact metrics.
RETRACTED: Analysis of temperature change mechanism and temperature rise characteristics of dry hobbing machine tool under heterogeneous energy conversion
Authors: Chen Peng , Peng Shengdi , Yang Xiao , Zhang Zhili
Published: June 2024

The authors have requested that this preprint be removed from Research Square.
Utilizing Convolutional Neural Networks (CNN) for Persimmon Irrigation Decision-Making: A Case Study in the Gojo Yoshino Region, Nara Prefecture, Japan
Authors: Okayama Atsushi , Yamamoto Atsushi , Kimura Masaomi , Matsuno Yutaka
Published: June 2024

This study aimed to develop and evaluate a model for persimmon irrigation decision-making using Convolutional Neural Networks (CNNs) based on leaf image data. Data comprising leaf images collected in the field and corresponding soil moisture measurements were gathered from the Gojo Yoshino region, recognized as the primary persimmon-producing area in Nara Prefecture, Japan's second-largest persimmon-producing prefecture. The findings demonstrate that the constructed CNN model can successfully identify water stress levels in persimmon trees from leaf image data. However, there are limitations to the model's performance and scopes for improving accuracy. The model's capability enables remote irrigation decision-making by integrating field-acquired leaf images into edge devices for on-site processing. When integrated with ongoing developments in remote irrigation systems, this technology has the potential to automate irrigation practices, thereby offering substantial labor-saving benefits.
Effectiveness of radiation shields to minimize operator dose in the bronchoscopy suite: a phantom study and clinical cases
Authors: Jeon Hosang , Kim Dong Woon , Joo Ji Hyeon , Ki Yongkan , Kang Suk-Woong , Shin Won Chul , Yoon Seong Hoon , Kim Yun Seong , Yong Seung Hyun , Chung Hyun Sung , Lee Taehoon , Seol Hee Yun
Published: June 2024

Background
The purpose of this study was to 1) evaluate the effectiveness of radiation shields to minimize radiation exposure to the bronchoscopist location in a phantom study and 2) determine the dose of radiation exposure to medical staff with radiation shields in clinical cases.
Methods
To mimic bronchoscopic operations, an anthropomorphic torso phantom was positioned on the fluoroscopic table between the C-arm X-ray tube and the image detector. A combination of upper body lead shields and lower body lead shields was placed to examine the effectiveness of radiation shielding. Scatter radiation rates were assessed at a primary operator location using real-time dosimeters with and without the presence of protective devices. In clinical cases, the radiation exposure of the primary operator and main assistant was measured using wearable radiation dosimeters during 20 cases of procedures under the combination of upper body and lower body lead shields.
Results
In the phantom study, the scattered radiation without shielding were 266.34 ± 8.86 µSv/hr in the glabella level, 483.90 ± 8.01 µSv/hr in the upper thorax level, 143.97 ± 8.20 µSv/hr in the hypogastrium level, and 7.22 ± 0.28 µSv/hr in the ankle level, respectively. The combination of upper body and lower body lead shields reduced the radiation exposure by 98.7%, 98.3%, 66.2%, and 79.9% in the glabella, upper thorax, hypogastrium, and ankle levels in the phantom study, respectively. The mean exposure rates and their standard deviations from 20 clinical cases were 0.14 ± 0.05 µSv/procedure at the bronchoscopist’s eye, 0.46 ± 0.51 µSv/procedure at the bronchoscopist’s chest, 0.67 ± 0.50µSv/procedure at the bronchoscopist’s hypogastrium, and 1.57 ± 2.84 µSv/procedure at the assistant’s wrist, respectively.
Conclusions
1) Combination of radiation shields significantly reduces radiation exposure in the operator site in the phantom study. And 2) the radiation exposure to medical staff during bronchoscopy can be kept at a low level with the aid of a shielding system.
An Observational study to evaluate the quality of life among End Stage Kidney Disease from South India
Authors: Nithya R , Jaganathan Vennila , Krishna Veena Natti , Nayak Megha Nagaraj , Josten Kripa , Jenitha K. Esther
Published: June 2024

Quality of life (QoL) is comprehensive and multidimensional, encompassing both the physical and mental well-being of an individual. Researchers often consider QoL to be an indicator of psychosocial well-being. This research evaluated the associations between sociodemographic variables that impact QoL in patients with CKD-ESKD and variations in blood parameters before and after hemodialysis. The selected participants completed the KDQOL-SF-36 questionnaire, which assessed their QoL, and a 3-month follow-up was performed. With the patients' consent, blood samples were collected and monitored at baseline and after three months. Statistical analysis was performed by R programming. Descriptive statistics, Inferential statistics: chi-square analyses and student’s t tests were performed. Fifty-five hemodialysis patients aged 51–60 years were selected from among CKD-ESKD patients. Males outnumbered females in the sample. The evaluation of QoL showed a strong statistical association with socioeconomic status in hemodialysis patients. Statistical analysis revealed significant changes in the laboratory parameters uric acid (p = 0.02) and calcium (p = 0.03) and effect size reported for other parameters. Sociodemographic characteristics can indeed effect QoL in hemodialysis patients. Enhancing the QoL requires clinical interventions and psychological support from physicians and caretakers to impact their well-being.
WITHDRAWN: Values of Lymphocyte-Related Ratios in Predicting the Clinical Outcome of Acute Ischemic Stroke Patients Receiving Intravenous Thrombolysis Based on Different Etiologies
Authors: Li Yongyu , Chen Keyang , Wang Lu , Zhao Linhu , Lei Chunyan , Gu Yu , Zhu Xiaoyan , Deng Qionghua
Published: June 2024

Background
Previous studies confirmed that neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), and platelet to lymphocyte ratio (PLR) were related to the clinical outcomes of acute ischemic stroke (AIS). This study aimed to explore predictive values of these ratios on the clinical outcomes of AIS patients receiving intravenous thrombolysis based on TOAST (Trail of Org 10172 in Acute Stroke Treatment) classification.
Methods
Patients admitted to department of Neurology with AIS were included. NLR, LMR and PLR were obtained before thrombolysis. Unfavorable functional outcome was defined as a modified Rankin score (mRS) of 3–6 at 90 days after onset. The Receiver Operating Characteristic (ROC) curves were used to explore the predictive values of lymphocyte-related ratios for clinical outcomes after receiving intravenous thrombolysis for different etiologies of AIS.
Results
A total of 381 patients were included. NLR was independently associated with unfavorable functional outcome for large-artery atherosclerosis stroke (aOR,1.354; 95% CI, 1.142–1.606; P = 0.001), small-artery occlusion stroke (aOR,1.505; 95% CI, 1.081–2.096; P = 0.015), and cardioembolism stroke (aOR,1.817; 95% CI, 1.065–3.101; P = 0.028). LMR was independently associated with poor functional outcome for large-artery atherosclerosis stroke (aOR, 0.693; 95% CI, 0.541–0.886; P = 0.004). NLR's AUC values for predicting poor functional outcome in large-artery atherosclerosis, small-artery occlusion and cardioembolism were 0.702, 0.750, and 0.697 respectively, with cutoff values of 3.193, 3.937, and 3.172.
Conclusions
NLR had good predictive ability for poor functional outcome of patients with large-artery atherosclerosis and small-artery occlusion strokes who received intravenous thrombolysis treatment, rather than other subtypes. LMR and PLR had no predictive values.
The impact of living with multiple long-term conditions (multimorbidity) on everyday life – a qualitative evidence synthesis
Authors: Holland Emilia , Matthews Kate , Macdonald Sara , Ashworth Mark , Laidlaw Lynn , Cheung Kelly Sum Yuet , Stannard Sebastian , Francis Nick A , Mair Frances S , Rajababoo Rita , Parekh Saroj , Gooding Charlotte , Alwan Nisreen A , Fraser Simon DS
Published: June 2024

Background
Multiple long-term conditions (MLTCs), living with two or more long-term conditions (LTCs), often termed multimorbidity, has a high and increasing prevalence globally with earlier age of onset in people living in deprived communities. A holistic understanding of the patient’s perspective of the work associated with living with MLTCs is needed. This study aimed to synthesise qualitative evidence describing the experiences of people living with MLTCs and develop a greater understanding of the effect on people’s lives.
Methods
Three concepts (multimorbidity, burden and lived experience) were used to develop search terms. A broad qualitative filter was applied. MEDLINE (Ovid), EMBASE (Ovid), PsycINFO (EBSCO), CINAHL (EBSCO) and the Cochrane Library were searched from 2000-January 2023. We included studies where at least 50% of study participants were living with ≥ 3 LTCs and the lived experience of MLTCs was expressed from the patient perspective. Screening and quality assessment (CASP checklist) was undertaken by two independent researchers. Data was synthesised using an inductive approach. PPI (Patient and Public Involvement) input was included throughout.
Results
Of 30,803 references identified, 46 met the inclusion criteria. 28 studies (60%) did not mention ethnicity of participants and socioeconomic factors were inconsistently described. Only 2 studies involved low- and middle-income countries (LMICs). Eight themes of work emerged: learning and adapting; accumulation and complexity; symptoms; emotions; investigation and monitoring; health service and administration; medication; and finance. The quality of studies was generally high. 41 papers had no PPI involvement reported and none had PPI contributor co-authors.
Conclusions
The impact of living with MLTCs was experienced as a multifaceted and complex workload involving multiple types of work, many of which are reciprocally linked. Much of this work, and the associated impact on patients, may be not apparent to healthcare staff, and current health systems and policies are poorly equipped to meet the needs of this growing population. There was a paucity of data from LMICs and insufficient information on how patient characteristics might influence experiences. Future research should involve patients as partners and focus on these evidence gaps.
Investigation of Improved Energy Dissipation in Stepped Spillways Applyinga Bubble Image Velocimetry
Authors: Mikalsen Lars Marius , Thorsen Kasper Haugaard , TÜRKBEN Asli BOR , Lia Leif
Published: June 2024

This study focuses on the skimming flow regime, two-phase air-water flow conditions, and simple measures for improving energy dissipation, and aims to optimize the design, operation, and modeling of stepped spillways. The experiments were carried out at the Norwegian Hydraulic Laboratory at the Norwegian University of Science and Technology in Trondheim. Velocity field measurements were made in two physical models of different scales, conducted in two different rectangular flumes. For the first scenario, a 1:50 scale spillway model was used, and for the second, a larger model, 1:17 scale was built with planks and marine plywood with a crest of extruded polystyrene (XPS). Crest splitters were installed to further increase energy dissipation, and the hydraulic jump method was applied to measure the residual energy level. Flow properties were investigated the flow properties with the Bubble Image Velocimetry (BIV) technique, which tracks air bubbles. Experimental results show that BIV is remarkably successful for studying turbulent two-phase air-water flow. Additionally, two experiments were carried out with and without splitters on the ogee crest with ADV, revealing how the splitters changed the velocity profile above the crest. The study found crest splitters to be a practical and cost-effective measure to improve energy dissipation, in addition to reducing the length of inception and cavitation potential.
Multi-label Emotion Classification on Social Media Comments using Deep learning
Authors: Bayu Yeshimebet , tegegn tesfa
Published: June 2024

Social media is an online platform that people use to develop social networks or relationships with others. Every day, millions of people use different social media to express their thoughts, emotions, and experiences. An emotion is a complex psychological event that involves a mixture of reactions occurring in the human body and brain, usually triggered by a mental content(Almeida et al., 2018). Multi-label text emotion classification is the problem that aims to identify all possible emotions from a given text that best represents the author's mental state. Many researches have been done on text emotion classification in English, Arabic, and Chinese language. However, most of them focus on single-label emotion classification which is unable to identify all present emotions in the given instance. To the best of our knowledge, there is no research conducted on multi-label emotion classification for Amharic text. In addition to this, there is no available dataset to conduct multi-label emotion classification research. These reasons motivate us to do research on multi-label Amharic text emotion classification. for this research we collected 18000 datasets from different social platforms YouTube, Facebook, and Twitter. The dataset is annotated by psychologists and other professionals. We use word2vec and one hot encoding to prepare the feature vector. We train and test four deep-learning approaches such as LSTM, BILSTM, CNN, and GRU. We perform the experiment by feeding one hot encoding and word2vec features to these for deep learning models and achieve the best accuracy with one hot vector. We achieve test accuracy of 53.1%, 54.5%, 54%, and 39.7% for LSTM, BILSTM, CNN, and GRU respectively. For the future we conduct this research using a large dataset with transformer models (BRT, ROBERTA, and XLNET) and test the performance of these models on Amharic text multi-label emotion classification.
Reservoir evaluation utilizing petrophysical analysis of well logging data validated by core sample in Sitra field, Abu EL-Gharadig Basin, Western Desert, Egypt
Authors: Mohamed Hadeel , MABROUK Walid M. , METWALLY Ahmed
Published: June 2024

In the northern section of the Western Desert, there are many extremely profitable petroleum and natural gas deposits in the Abu EL-Gharadig Basin. This study aims to highlight the hydrocarbon potential of Abu Roash F Formation, which stands for high organic content unconventional tight reservoirs, and Abu Roash G Formation which stands for conventional sand reservoirs, in Sitra field located in the central-western part of the Abu EL-Gharadig Basin. The research employed well-log data from four wells to ascertain petrophysical properties combined with core samples of two wells for a comprehensive examination and description of lithology. Initially, we commenced the execution of petrophysical analysis, encompassing log quality control procedures. Subsequently, we identified and revealed zones of interest and hydrocarbon indicators in both formations. Additionally, we ascertained the three most influential parameters, namely shale Volume, effective Porosity, and water saturation, which serve as defining factors for reservoir quality. Subsequently, an examination of the core samples, which encompassed lithologic description, lithofacies analysis, paleoenvironmental interpretation, petrographic analysis, and porosity assessment is conducted. For the sake of a more accurate interpretation, we conclude our research with Cartographic maps created to evaluate the geographical distribution of hydrocarbon potential based on petrophysical characteristics, Distribution of the net-to-gross ratio among wells by correlating the litho-saturation models (rock models) for the four wells. The foregoing results declare that The Abu Roash F carbonate-rich rocks are a contender for unconventional tight oil reservoir potential with thin secondary porosity and high organic content with total organic matter (TOC) values up to 3.04 wt%, which normally requires a kind of hydraulic fracturing for prospective oil extraction, Furthermore, the upper section of Abu Roash G formation, particularly in well sitra8-03, has highly favorable conventional reservoir characteristics.
The solar FUV-UV spectrometer flight experiment onboard high-altitude balloon
Authors: WEI Fei , ZHANG Xuanyi
Published: June 2024

An experiment measuring the solar far-ultravoilet-ultraviolet (FUV-UV) irradiance with spectral-resolution bettern than 0.1 nm in the wavelength range between 170 to 400 nm, was carried out by the “HongHu-6” high-altitude balloon that flight to the bottom region of the near-space in September 2022. This experiment was based on the fact that solar FUV-UV penetrates through a complex cross-section window of the upper atmosphere, from outer space to the near space. The solar FUV-UV deposits energy in the upper atmosphere, which provides a key to answer scientific questions on the most important energy contributor to overall heating sources of the near space and how the near-space environment responds to solar activities. In the wavelength band between 150 to 210 nm, irradiance maps from active regions of the solar corona, the comparative small cross-section of molecular oxygen allows certain wavelengths of the band to arrive at altitudes between 20 and 30 km above the ground, indicating solar flares could directly impact the bottom region of the near space. The solar UV irradiance in wavelength 170–400 nm is absorbed by the upper atmosphere as a function of wavelength, and deposits energy vertically in the lower regions of the near space. This experiment provides precise experimental data to assess the top-down energy input to the lower regions of the near-space. The solar FUV-UV spectrometer (SUVS) is a compact instrument based on improved Roland circle optics to adapt to the “HongHu-6” balloon payload platform. In this paper, we introduce the scientific goals of the solar FUV-UV spectrum measurement experiment, information on the SUVS instrument, preflight calibration, and the first results from the flight data.
Predicting current and future habitats of Adjutants under climate change for implementing strategic conservation measures in South and Southeast Asian landscapes
Authors: Abedin Imon , Mukherjee Tanoy , Singha Hilloljyoti , Go Yunji , Kang Hye-Eun , Kim Hyun-Woo , Kundu Shantanu
Published: June 2024

The storks (Ciconiiformes: Ciconiidae) represent a captivating avian group distinguished by their heavy-wading nature, long legs, elongated necks, and robust bills. The South and Southeast Asian region boasts the most diverse population of storks, necessitating immediate conservation efforts to preserve their habitats and shield them from the escalating threats of global warming. Within the genus Leptoptilos, three distinct species exist, two of which—the Greater Adjutant (Leptoptilos dubius) and the Lesser Adjutant (Leptoptilos javanicus)—have garnered attention as threatened according to the IUCN Red List. Nevertheless, recent strides in localized conservation efforts have prompted the tagging off these imperiled species to the ‘Near-Threatened’ category, citing population upswings. However, the assessment overlooks the crucial aspects like ramifications of climatic shifts and anthropogenic-induced habitat fragmentation. Hence, this study endeavors to assess climatic impacts via an ensemble approach to species distribution modeling. The findings unveil alarming trends for both adjutants across South and Southeast Asia. The Greater Adjutant (GA) is projected to undergo a severe decline of over 95% across all future scenarios (SSP245 and SSP585 in both time periods) from its current suitable extent of 38,686 km2, which represents only 5.91% of its total extent. On the contrary, the Lesser Adjutant (LA) experiences a spatial relocation towards Southeast Asia under the SSP245 and SSP585 scenarios, resulting in a decline of over 20% from its present suitable range of 239,490 km2, which accounts 22.59% of its IUCN range. Furthermore, the resulting habitat fragmentation, propelled by climatic alterations, is severe, with the GA losing numerous viable patches entirely and the LA experiencing fragmentation in its habitat. Furthermore, given the overlapping ranges of both adjutant species, the current scenario yields a niche overlap value of 0.370. Therefore, the present study advocates for the reassessment of both GA and LA, urging their IUCN assessment under threatened category. Furthermore, strategic conservation measures are proposed in this study, involving local communities, non-governmental organizations, and governmental entities, to safeguard these remarkable avian species.
Remaining useful life prediction of ultrasonic motor based on nonlinear stochastic degradation process
Authors: Gao Yuepeng , Yao Zhiyuan , Yang Lin
Published: June 2024

In this paper, the useful life prediction of traveling wave ultrasonic motor is taken as the research object to explore the estimation method of motor life and analyze the main mechanisms affecting the life of motors. The degradation pattern of motor performance is stochastic and nonlinear, and two modes of remaining useful life prediction models were established based on Wiener process theory. The parameters of the model were estimated based on Maximum Likelihood Estimation and multidimensional search optimization method. The performance of each degradation model was evaluated by introducing Akai Information Criterion and error evaluation method. Through the construction of an ultrasonic motor life test system and the life test, experimental data that can reflect the degradation of motor performance were obtained. The feasibility of the proposed method was verified using simulated signals and experimental datasets of motors. Compared with the existing methods on remaining useful life prediction, the modeling approach proposed has its uniqueness and superiority.