bluuebunny/crossref_metadata_2025 huggingface dataset:
Students’ preparation in IELTS Writing Task 1: How to write a summary of visual information
Authors: Fitria Tira Nur
Published: May 2024

The International English Language Testing System (IELTS) Writing Task  1 is used to test participants' ability to select and report main ideas, describe and compare data, identify trends in factual information, or describe a process. This research describes the types of questions in IELTS Writing Task 1 and how to write a summary of visual information usually in the form of a graph, chart, or diagram in IELTS Writing Task 1.  This research uses a descriptive qualitative approach. The analysis shows that IELTS Academic Writing Task 1 emphasizes graph interpretation and analysis. In this activity, verbal proficiency must be multiplied by the ability to comprehend and represent information as graphs (graphicacy). The provided information may be directly reflective of what we see (as in pictures or drawings) or more abstract, such as spatial (maps, plans, and diagrams) or numerical (charts, graphs, and tables) information (as in tables and graphs. There are several types of IELTS Writing Task 1, for example, pie charts, bar charts, bar graphs, line graphs, tables, maps, diagram processes, line and bar charts, also pie and bar charts. Each form of data visualization has its way of describing it.  To complete the IELTS Writing Task 1, participants are required to write a minimum of 150 words of writing or an essay. We can divide the number of words into 3 paragraphs (introduction, body, and conclusion) to make it easier to write an essay according to the data presented. The IELTS Writing Task 1 can be fairly challenging, particularly if we have not prepared. Overcoming these challenges requires good preparation, consistent practice, and a deep understanding of the IELTS format, structure, and requirements.
Constructivism-based pathways: Revolutionizing EFL writing instruction for adult learners
Authors: Fitrianingsih Ihtiara
Published: May 2024

In the ongoing pursuit of continuous pedagogical improvement, eclectic teachers find themselves inundated with a multitude of engaging approaches, methods, and techniques. The selection of these should ideally be based on informed pedagogy, with due consideration given to the particular needs of the learners. Through reflective self-inquiry , this paper aims to reveal how a thoughtful teacher reflects on her  everyday teaching practices in order to transform them into a more constructivist model of instruction by the stages of initiation, focus on the self, data collection, taking accountability, iterative reflection, and information generation. A description is provided of how the EFL writing classes taught by the author at Universitas Negeri Yogyakarta were managed. This is then confronted with some literature about andragogy and constructivist learning, providing a proposed model for improving future constructivist-based EFL writing instruction for adult learners. The constructivist approach to EFL writing proposed involves several key steps, from conditioning, collaborative inquiry, engaging feedback, work display, to reflective exam, all of which become comprehensive stages within one semester learning in writing courses.
Prevalence, Mortality, and Access to Care for Chronic Kidney Disease in Medicaid-Enrolled Adults With Sickle Cell Disease in California: Retrospective Cohort Study
Authors: Valle Jhaqueline , Lebensburger Jeffrey D , Garimella Pranav S , Gopal Srila
Published: May 2024

Background

Chronic kidney disease (CKD) is a significant complication in patients with sickle cell disease (SCD), leading to increased mortality.

Objective

This study aims to investigate the burden of CKD in Medicaid-enrolled adults with SCD in California, examine differences in disease burden between male and female individuals, and assess mortality rates and access to specialized care.

Methods

This retrospective cohort study used the California Sickle Cell Data Collection program to identify and monitor individuals with SCD. Medicaid claims, vital records, emergency department, and hospitalization data from 2011 to 2020 were analyzed. CKD prevalence was assessed based on ICD (International Classification of Diseases) codes, and mortality rates were calculated. Access to specialized care was examined through outpatient encounter rates with hematologists and nephrologists.

Results

Among the 2345 adults with SCD, 24.4% (n=572) met the case definition for CKD. The SCD-CKD group was older at the beginning of this study (average age 44, SD 14 vs 34, SD 12.6 years) than the group without CKD. CKD prevalence increased with age, revealing significant disparities by sex. While the youngest (18-29 years) and oldest (>65 years) groups showed similar CKD prevalences between sexes (female: 12/111, 10.8% and male: 12/101, 11.9%; female: 74/147, 50.3% and male: 34/66, 51.5%, respectively), male individuals in the aged 30-59 years bracket exhibited significantly higher rates than female individuals (30-39 years: 49/294, 16.7%, P=.01; 40-49 years: 52/182, 28.6%, P=.02; and 50-59 years: 76/157,48.4%, P<.001). During this study, of the 2345 adults, 435 (18.5%) deaths occurred, predominantly within the SCD-CKD cohort (226/435, 39.5%). The median age at death was 53 (IQR 61-44) years for the SCD-CKD group compared to 43 (IQR 33-56) years for the SCD group, with male individuals in the SCD-CKD group showing significantly higher mortality rates (111/242, 45.9%; P=.009) than female individuals (115/330, 34.9%). Access to specialist care was notably limited: approximately half (281/572, 49.1%) of the SCD-CKD cohort had no hematologist visits, and 61.9% (354/572) did not see a nephrologist during this study’s period.

Conclusions

This study provides robust estimates of CKD prevalence and mortality among Medicaid-enrolled adults with SCD in California. The findings highlight the need for improved access to specialized care for this population and increased awareness of the high mortality risk and progression associated with CKD.
Diagnostic and classification criteria of heart failure in the practice of doctors at the prehospital stage
Authors: Kovalyova O.М. , Nikonov V.V. , Ivanchenko S.V. , Zhuravlyova A.K. , Viun T.I. , Litvynova A.M.
Published: May 2024

The article deals with an overview of heart failure with an emphasis on identification criteria and models of its classification based on literary sources from the MEDLINE database on the PubMed, Web of Science, Scopus, and Google Scholar platforms. The subjective and objective signs of chronic heart failure accor­ding to the Framingham Heart Study using the methods of clinical epidemiology and presented with modern data in the international guidelines are shown. Clinical manifestations of acute heart failure in patients with myocardial infarction are outlined. In chronological order, the hemodynamic classification of heart failure is reproduced with the definition of systolic and diastolic dysfunction as markers for ranking patients in practical work. Based on the materials of international guidelines developed by the experts of the American College of Cardiology, American Heart Association, Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, the diagnostic indicators of cardiac decompensation are summarized. Given the modern perception, the diagnostic value of the left ventricular ejection fraction has been proven for determining heart failure phenotypes. The classification of heart failure of the New York Heart Association plays a significant role in determining the functional class; this was reflected in the article. Based on the provisions of international guidelines, the importance of natriuretic peptides as potential biomarkers of acute and chronic heart failure is proved. The advantages of assessing the structural and functional parameters of the heart in patients for detecting the preclinical stage of heart failure, association with clinical events and control of treatment are described. An update version of heart failure classification is presented with the identification of four stages and highlighting their characteristics. According to this classification, a relevant preventive measure is to shift the therapeutic focus to the initial stages of diseases that trigger heart failure.
Radiologic diagnosis of pneumothorax in combat trauma
Authors: Grechanik О.I. , Аbdullaiev R.R. , Nikonov V.V. , Voronzhev І.О. , Аbdullaiev R.Ya. , Davidy М.М.
Published: May 2024

Background. Chest injuries during combat operations occupy a prominent place and often become the cause of mortality. Before the widespread introduction of imaging methods into clinical practice, the mortality rate for chest combat injuries exceeded 50 %. Objective: a comparative assessment of radiography and ultrasonography options in the diagnosis of pneumothorax that occurred as a result of combat trauma. Materials and methods. A comparative analysis of the radiography and ultrasonography results was carried out in 76 patients with pneumothorax due to chest combat trauma. Results. During X-ray in the supine position, the sensitivity of the method was 58.1 %, specificity — 72.7 %, accuracy — 64.5 %, positive predictive value — 73.5 %, negative predictive value — 57.1 %. The sensitivity of the method in the sitting position of patients was 71.9 %, specificity — 89.5 %, accuracy — 76.3 %, positive predictive value — 95.3 %, negative predictive value — 51.5 %. Ultrasound diagnosis of pneumothorax was based on identifying the “barcode” sign due to the lack of sliding of the visceral pleura during the patient’s inspiration. The sensitivity of ultrasonography in B-mode was 90.8 %, specificity — 81.8 %, accuracy — 89.5 %, positive predictive value — 96.7 %, negative predictive value — 60.0 %, and in combined B + M modes — 94.0, 88.9, 93.4, 98.4, 66.7 %, respectively. In the diagnosis of large pneumothorax, the sensitivity of radiography was 96.8 %, specificity — 100.0 %, accuracy — 96.9 %, positive predictive value — 100.0 %, negative predictive value — 50.0 %, respectively, and of ultrasonography — 96.7, 100.0, 96.9, 100.0, 66.7 %, respectively. Conclusions. Ultrasonography has greater sensitivity for diagnosing small pneumothorax than conventional radiography, especially in bedridden patients. Ultrasonography in combined B + M modes can be both a primary and a clarifying method for diagnosing pneumothorax in combat trauma.
The Analysis on the Construction Direction of the Coordinated Action System of Natural Disaster Volunteers in China
Authors: Jiang Huizhong
Published: May 2024

From the perspective of collaborative governance, it is found that volunteers have become an indispensable force in the process of responding to disasters. However, due to the late start but rapid development of emergency volunteer service in China, the current emergency management system lacks a coordination mechanism to ensure the orderly participation of emergency volunteers in disaster rescue, and there are problems such as the lack of the concept of polycentric governance, the disorder of self-organized behavior, the lack of coordination within the system, the excessive emphasis on the gratuitous nature of public welfare, and the lag in the construction of laws and regulations.
Herbal Anti-fungal Cream: A Natural Approach to Onychomycosis Treatment
Authors: Bhavsar Mr. Anuch Ninad
Published: May 2024

Abstract: Onychomycosis is a frequent fungal infection of the nails that is difficult to cure and is not well controlled by standard medications, therapeutic options are limited. Herbal remedies have drawn interest as a result of this due to their potential as complementary therapies. The composition and effectiveness of a novel herbal anti-fungal cream that combines the powerful anti-fungal qualities of clove oil, turmeric, and pure peppermint are examined in this abstract. The strong anti-fungal properties of clove oil's high eugenol content are enhanced by curcumin, an anti-inflammatory and anti-microbial compound found in turmeric. Pure peppermint contributes antifungal and calming qualities as well as a pleasant element. The combination of these components offers a viable way to cure onychomycosis, possibly more effectively than conventional therapies because it is allnatural.
Analysis of Machine Learning Algorithms for Heart Disease Prediction
Authors: Lichode Prof. Rupatai
Published: May 2024

Abstract: In recent times, heart disease prediction is one of the most complicated tasks in medical field. In the modern era, approximately one person dies per minute due to heart disease. Data science plays a crucial role in processing huge amount of data in the field of healthcare. As heart disease prediction is a complex task, there is a need to automate the prediction process to avoid risks associated with it and alert the patient well in advance. This project makes use of heart disease clinical dataset available in UCI machine learning repository. The proposed Work predicts the chances of heart disease and classifies patient’s risk level by implementing different data Mining techniques such as Decision Tree, Logistic Regression, support vector machine, k-Nearest Neighbor, Random Forest and Gradient Boosting. Thus, this paper Presents a comparative study by analyzing the performance of different machine learning algorithms. With the increasing number of deaths due to heart diseases, it has become mandatory to develop a system to Predict heart diseases effectively and accurately. The Aim of the study was to find the most efficient ML Algorithm for detection of heart diseases. This study compares the accuracy score of all above mentioned machine learning algorithms for predicting heart disease using UCI machine learning repository dataset. The result of this study indicates that the Random Forest algorithm is the most efficient algorithm with accuracy score of 85.24% for prediction of heart disease when Compared to all other Classification algorithms used in this analysis which will help to provide better Results and help health professionals in predicting the heart disease effectively and efficiently.
Transparent Concrete: A Brief Review
Authors: H D Ashwini
Published: May 2024

Abstract: World is actively engaged in the creation of unique materials and technologies since the dawn of human civilization. Humans are different from other animals in that we want to live easier, more sophisticated lives. Concrete is nothing short of a miracle for human evolution in this era of constant advancement. One of those cutting-edge varieties of concrete is transparent concrete, which not only dispels the stereotype of concrete as a lifeless, colorless substance but also contributes to energy conservation, one of the main issues facing the modern world. Concrete that transmits light, sometimes referred to as translucent concrete. Due to incorporated light optical elements, the material has light-transmissive qualities. The concrete block allows light to pass through it from one end to the other. Therefore, in order to get maximal light penetration, fibers must travel through the entire object. Natural light in buildings is obstructed by the construction of skyscrapers and high-rise buildings. The use of artificial light has significantly increased as a result of this issue.
3-D Reconstruction of Brain MRI using Machine Learning Algorithm
Authors: Patil Dr. S. T.
Published: May 2024

Abstract: Medical imaging, particularly Magnetic Resonance Imaging (MRI), is pivotal in non-invasive examination of the intricate structures within the human brain. As the volume and complexity of MRI data continue to grow, there is an increasing demand for advanced computational methods to accurately analyze and interpret these images. This research explores the transformative potential of Convolutional Neural Networks (CNNs), a subset of deep learning, for the analysis of brain MRI images. Traditional approaches often involve manual segmentation, introducing challenges in scalability and the potential for human error. CNNs, with their ability to automatically learn hierarchical features, present a paradigm shift by eliminating the need for explicit feature engineering. The deep architecture of CNNs enables nuanced understanding of spatial patterns and subtle variations within brain structures. Trained on extensive datasets, CNNs demonstrate remarkable generalization capabilities across diverse patient demographics and imaging conditions. This paper delves into the methodology and results of applying CNNs to the deep learning-based analysis of brain MRI images. The implications extend beyond academic exploration, promising to significantly impact clinical decision-making by offering precise and timely diagnoses. Furthermore, this research aligns with the broader trend in healthcare towards automated, data-driven solutions.
ANALISIS MANAJEMEN PEMBIAYAAN PADA LEMBAGA KSPPS BMT AR-ROHMAH BANDONGAN MAGELANG
Authors: Rochison Muhammad , Fitriyani Yeny , Purwanto Purwanto , Rifki Muhammad , Hidayat Yahya Nur
Published: May 2024

Shariah Savings and Credit and Finance Cooperatives (KSPPS) are microfinance institutions that collect and distribute assets to people who need these funds. This research aims to find out the financial management and internal and external systems in KSPPS BMT Ar-Rohmah Bandongan Magelang; this research uses a descriptive qualitative approach with interview techniques, primary and secondary data collection, and documentation. Using SWOT analysis, we can find the weaknesses, strengths, threats, and opportunities in KSPPS Ar-rohmah institution. The results of this study show that the management system in KSPPS BMT Ar-rohmah institution uses a Sharia financing system and has Sharia principles, as well as having several opportunities and weaknesses and threats for institutions; KSPPS BMT Ar-rohmah mitigates risks by paying attention to character, capacity, capital, collateral and economic conditions in customers.
Kinerja Analitik Mikrokapsul Magnetit - Alginat (MNPs-ALG) untuk Analisis Ion Logam Cu(II) dan Aplikasinya pada Sampel Alam
Authors: Lianasari Ika Yekti , Aman Sentosa Panggabean  , Bohari Yusuf  , Alimuddin  , Koesnarpadi Soerja
Published: May 2024

Research has been carried out regarding the synthesis of Magnetite-Alginate microcapsules (MNPs-ALG) and applied to Cu (II) metal ions. The nature of magnetic nanoparticles, Fe3O4 which easily form aggregations can be overcome by this encapsulation process, but a very efficient separation process is also very much needed in the analytical separation process.The process of making magnetite nanoparticle compounds is carried out first using FeCl2.4H2O and FeCl3.6H2O and adding concentrated ammonia at a temperature of 90οC until the solution becomes blackish in color. The dry magnetite, Fe3O4, nanoparticles were then dissolved in distilled water and thickened with Na-Alginate then dropped slowly into a 1 M CaCl2 solution. The results of characterization using SEM showed that there were differences in morphology before and after contact, and there was 0.98% mass of Cu elements on the EDS results.The microcapsule adsorption optimization test gave results for the best adsorption percentage >90% on a mass variation of magnetite (MNPs) of 0.3 grams; pH 5; contact time of 30 minutes and retention capacity of 185.95 mg/gram, at a Cu(II) concentration of 800 ppm. Analytical performance shows the best results with linearity parameters with a correlation coefficient of 0.999; the detection limit and quantitation limit are 0.0516 ppb and 0.1720 ppb with a lifetime of four times. The application of samples in the form of river water samples shows a percent recovery value of around >90%, indicating that there is no matrix that significantly influences the measurements.
Uji Cemaran Logam Mangan (Mn), Tembaga (Cu), dan Mikroba pada Air Minum dalam Kemasan
Authors: Rosita Tita , Sadiyah Inne
Published: May 2024

The presence of metal contaminants such as Manganese (Mn) and Copper (Cu) and microbial contaminants in bottled drinking water (AMDK) that are potentially harmful to human health must be maintained so as not to exceed the set limits. The standard method of testing for Mn and Cu metal contamination in bottled water involves the use of Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) which refers to SNI 3554:2015. Microbial contamination testing in bottled water was carried out by measuring several parameters such as total plate count (ALT), Coliform test, E.coli test and Pseudomonas aeruginosa test with methods referring to SNI 3554:2015. The test results show that the level of Mn metal in AMDK is 0.001 mg/L with a very low relative variation (%RSD 0.00%), and the level of Cu metal is 0.004 mg/L with the same low relative variation (%RSD 0.00%). In addition, the microbial contamination test results for total plate counts were <1 CFU/mL, and the average test results for E.coli, Coliform, and P.aeruginosa bacteria were 0 colonies/250 mL samples. These results illustrate that the levels of Mn and Cu metal contamination and microbial contamination found in AMDK do not exceed the limits set in SNI 3553: 2015. Based on the tests conducted, bottled drinking water is proven safe from Mn and Cu metal contamination and microbial contamination.
Reduksi Kandungan Zat Aktif Anionik dalam Limbah Laundry dengan Memanfaatkan Kombinasi Zeolit dari Tongkol Jagung dan Pseudomonas aeruginosa
Authors: Nea Sirah Diniati , Nurhaeni  , Puspitasari Dwi Juli , Prismawiryanti  , Inda Nov Irmawati , Sumarni Ni Ketut , Ruslan
Published: May 2024

The increasing environmental pollution is one of the consequences of human activities that continue to expand. The environment has limitations in coping with pollutants generated by humans, such as waste from the laundry industry. This research aims to evaluate the combined effect of zeolite produced from corn cobs and the use of microorganisms capable of degrading anionic surfactants, with the goal of reducing the concentration of anionic surfactants in laundry wastewater. The methods used include adsorption using corn cobs as adsorbents and biodegradation using surfactant-degrading bacteria. Morphological observations using Scanning Electron Microscope (SEM) indicate that the produced zeolite has a crystal structure that stacks up like clumps of cubes. X-ray Diffraction (XRD) analysis shows that zeolite synthesized with a silica extraction ratio from corn cobs and sodium aluminate of 20:20 mL has been successfully conducted. The biodegradation process of anionic surfactants in laundry wastewater using a combination of synthesized zeolite and Pseudomonas aeruginosa bacteria employing the Methylene Blue Alkyl Substance (MBAS) method has shown a decrease in concentration to 1.66 mg/L and degradation of 33.55%, especially in sample 3 with variations of 7.5 grams of corn cob zeolite and 15% microorganisms, during a 5-day experiment.
Sintesis dan Karakterisasi Polivinil Alkohol (PVA) Terlapis Polieugenol
Authors: Rahim Erwin Abdul , Ridhay Ahmad , Sitti Nur Halizah  , Indriani  , Sosidi Husain , Khairuddin  , Inda Nov Irmawati , Nurakhirawati  , Mirzan Moh. , Amar Aini Auliana
Published: May 2024

A study has been conducted on materials containing polyvinyl alcohol (PVA) coated with poly eugenol. This research aims to explore the synthesis process and properties of PVA coated with poly eugenol. Characterization of PVA includes tensile strength measurement and surface observation using SEM. Additionally, the antioxidant activity of PVA was also tested using the DPPH method. In this study, PVA films were obtained by dissolving PVA in a water solvent. The characterization results indicate that the tensile strength ranges from 25.56 to 271.10 Mpa, elongation reaches 315.20 to 320%, and the young modulus ranges from 4.05 to 6.27 Mpa. Surface observation with SEM shows a smooth surface without pores. The antioxidant activity test shows IC50 values ranging from 84.11 to 175.37 ppm.
Association between Infertility and Educated Working Women: Evidences from Indian Data
Authors: J Atul Kaneria , N Dipika Kumari Bhoya , Patel Mitul , A Palak Kaneriya
Published: May 2024

Infertility is a medical problem and carries serious demographic,
social, as well as health consequences. In the present study, an attempt
has been made to study the relationship between infertility and highly
educated working women after controlling for certain socioeconomic and
demographic variables and efforts have been made to see this relational
difference between urban and rural residing women. The information about
infertile women is collected from currently married women aged 20-35
using fourth round of National Family Health Survey data. Bivariate
analysis along with unadjusted and adjusted logistic regression is used
to access the relationship of our objective. Findings of the bivariate
analysis revealed that among sample of 40,401 currently married women
9.4% women are infertile in India. Out of 9.4% infertile women, 10.7%
reside in urban and 8.8% in rural areas. Findings of logistic
regression analysis show that women are 20% more likely to be infertile
if they are highly educated as well as have a job. Due to aspirations to
attain a higher educational level and attain employment, marriage is
delayed as a result of which in confirmation with aforementioned
causation factors (higher age at marriage, urban living style, etc.),
the infertility rate is high among this subgroup of the population.
Quantitative Analysis and Verification of Edge Computing Offloading Strategy Based on Probabilistic Model Checking
Authors: Yin Jiaqi , Fei Yuan
Published: May 2024

Edge computing has emerged as the leading framework for
addressing the need for low latency and high reliability in various
applications. To achieve efficient completion of tasks in edge
computing, considerable efforts have been made to design effective
offloading strategies. However, most of these strategies are proposed
without undergoing quantitative analysis and verification to ensure
their correctness and robustness. Therefore, this paper presents a
hybrid offloading strategy framework, encompassing delay-based,
energy-efficient, and energy-delay tradeoff strategies, aimed at
improving the comprehensibility and verifiability of offloading
strategies, and addressing this gap. Additionally, we employ
probabilistic model checking, specifically Prism, to quantitatively
analyze and validate the reliability of the proposed hybrid framework.
Our method addresses the need for rigorous quantitative analysis and
verification of edge computing offloading strategies, ensuring the
correctness and robustness. The outcomes of this paper provide practical
solutions and insights to the field, advancing the development of
trustworthy and efficient offloading strategies for edge computing
systems.
Evaluating YouTube Videos as a High-Quality Educational Resource for Patients Contemplating Receiving Implantable Cardioverter Defibrillators
Authors: Lee Thomas J. , Campbell Daniel J. , Dayal Manik , Hossain Afif , Rao Abhinav , Pavri Behzad
Published: May 2024

Introduction Patients increasingly use online sources to research
treatment options and YouTube is the most used online video source. An
estimated 40% of Americans watch YouTube videos regarding health and
medicine; however, YouTube is unregulated and non-peer-reviewed. Methods
We searched for YouTube videos using the term “Implantable Cardioverter
Defibrillator.” Videos were categorized by uploader type and assessed
using two methodologies: the modified DISCERN criteria (range: 0-25) and
an electrophysiologist-reviewed Novel ICD (NI) score (range: 0-10).
Qualitative score cut-offs were implemented stratifying the videos as:
very poor, poor, average, good, and excellent. Secondary outcomes such
as measures of popularity, duration, and audio-visual quality were
collected and analyzed. Results Overall video quality was poor and
highly variable across both scoring systems: mean modified DISCERN =
13.19±5.12; mean NI score = 4.09±2.56. Videos uploaded from academic
institutions had a significantly higher modified DISCERN score than
medical device companies, 13.97 (±4.59) vs. 9.039 (±5.16) (p=0.011). A
significant positive correlation was found between video duration and
both NI score (r=0.77, p<0.001) and modified DISCERN criteria
(r=0.57, p<0.001). None of the metrics of video popularity
correlated with video quality. Conclusion YouTube videos regarding ICDs
available to patients were of a low and highly-variable quality. Factors
such as uploader type, duration, and search position correlated with
video quality. Although longer videos were more informative, videos that
were optimal in length for attention (6 to 9 minutes) were variable in
quality. More popular videos were not of higher quality, indicating that
video preference by patients can be flawed.
Experimental study on refrigeration system’s performance of the refrigerator truck using R404A refrigerant
Authors: Su Zhiyong , Zhao Kunzheng , Li Haijun , Zhang Yibo
Published: May 2024

A refrigerated system experimental bench using R404A as the refrigerant was
built to address the current issues of high compressor discharge temperature
and poor refrigeration performance of refrigerated systems for cold storage.
The effects of compressor speed and temperature changes within the storage
on the main refrigeration performance parameters of the system were studied
and analyzed. The results show that when the rotational speed is increased
from 2500-4500 rpm under the conditions of 32?C outside and 0?C inside,
the highest system exhaust temperature is 84.3?C, which is lower than 90?C, and the maximum system COP is 3.86, and when the compressor speed is
increased from 3500 rpm under the conditions of -5?C to 5?C, the system
exhaust temperature is lower than 90?C. The COP can reach 2.74, especially
at -5?C.
Low temperature phase change material for cold storage and its application to refrigerated transportation
Authors: Lu Haifang , Pan Jiaxin , Liu Enhai , Xu Sensen , Shang Xiaohai , Guo Zhanghui
Published: May 2024

This paper applies the phase-change cold storage technology to refrigerated
transportation to reduce the energy consumption. Experiment data showed that
the electronic expansion valve can be randomly adjusted to simulate the
temperature within negative 25?C to negative 5?C, and a system for
defrosting at low temperature and auxiliary refrigeration based on
phase-change thermal energy storage of diethylene glycol were developed to
guarantee the reliability of the cold chain system.
Solutions of the KdV-MKdV equations arising in non-linear elastic rods under fractal dimension
Authors: Shang Chu-Han , Yi Huai-An
Published: May 2024

A prediction of rod wave type with great precision is extremely important in
theoretical analysis and practical applications. Besides the well-known
periodic motion and resonance, this paper studies the rod wave in a fractal
space, and a fractal solitary wave is unlocked by the variational approach,
the results reveal that the rod strain non-linearity and fractal dimensions
affect greatly the wave travelling properties. This paper offers a new
window for identifying a solitary wave from periodic motion easily and
accurately.
Stability of initial response of exponentially damped oscillators
Authors: Xiu Guozhong , Liu Hongmei , Mao Jianjing
Published: May 2024

A damping system always results in energy consumption. This paper studies an
exponentially damped oscillator with historical memory for a viscoelastic
damper structure, its stability under an initial response is analyzed
analytically and verified numerically.
A superhydrophobic nanofiber membrane and its application to dye filtration using membrane distillation
Authors: Zhao Lei , Wang Qianwen , Wei Li , Zhu Ting , Zhao Jumei
Published: May 2024

Direct contact membrane distillation tests are carried out on four kinds of
dye solutions using the superhydrophobic polyvinylidene
difluron-copolymerized hexafluoro-propylene nanofiber membrane (PH-E) and
its modification coated with polydime-thylsiloxane (PDMS) nanoparticles
(PDMS-PH-E membrane). The test results show that PDMS-PH-E membrane has
higher water flux, and the removal efficiency of four dyes reaches 100%.
While the removal efficiency of the PH-E membrane reaches 100% only for two
dyes. The loosely absorbed dye structure on PDMS-PH-E membrane roughens the
surface, and stimulates the negatively charged droplets to bounce, resulting
in an effective anti-fouling and self-cleaning effect and a long-term
scaling prevention.
A multipole fast asymptotic algorithm for a class of equations based on the flow function method with fractional order Laplace transform
Authors: Deng Shuxian , Ji Wenguang
Published: May 2024

As a mature and reliable method, this study is based on the flow function
method for mathematical modeling and establishes a class of mathematical
models that are approximately realistic, flexible, and easy to calculate.
According to the characteristics of fractional order calculus, the initial
boundary conditions are modified and optimized to reduce the model error of
this class of equations. According to the minimum energy principle and
linearized integral calculation method, the multi-field multi-parameter
non-linear coupling problem in the calculation process is solved, and the
rapid calculation of the initial boundary model is realized. The accuracy
of the model is tested by numerical simulation and simulation validation of
different processes. A reliable theoretical and technical support is
provided for the calculation of this type of equations.
Two-dimensional heat transfer with memory property in a fractal space
Authors: Liu Jiang-Jun
Published: May 2024

This paper considers a temperature-dependent thermal conductivity with memory
property in a fractal space. The two-scale fractal derivative is adopted to
model the temperature field in the spatial dimensions, and Caputo fractional
derivative is used to describe its memory property. The variational
iteration method is employed to solve the mixed model with great success.
This paper offers a new window for studying intractable problems arising in
porous media or unsmooth boundaries.
Team-based digital communication reduced patient-initiated phone calls to the hospital and improved patient satisfaction after orthopedic surgery: a randomized controlled trial in 70 patients
Authors: Høpfner Jensen Lili Worre , Kold Søren , Dinesen Birthe , Husum Hans-Christen , Skals Regitze Gyldenholm , Eiskjær Søren Peter , Elsøe Rasmus , Rahbek Ole
Published: May 2024

Background and purpose: Post-discharge inquiries to the hospital are predominantly conducted through phone calls. The rigid timing of these calls is inconvenient for patients and disrupts the workflows of healthcare professionals. The aim of this study was to investigate the effect of a team-based digital communication intervention (eDialogue) facilitated through a messenger-like commercial solution on patient-initiated phone calls to the hospital after discharge. Secondarily, we investigated other patient-initiated contacts, patients’ perception of continuity of care, and their perception of feeling safe and satisfied after hospital discharge.Methods: On the day of discharge, 70 surgically treated orthopedic patients were randomized to the intervention group with access to eDialogue (n = 35) or the control group with standard communication pathways by phone call (n = 35) for the following 8 weeks. Through eDialogue, the intervention group had access to team-based asynchronous digital communication in text and photos with healthcare professionals across disciplines and sectors. Inclusion criteria were discharge to own home and receipt of rehabilitation services from both hospital and primary care after discharge.Results: We found a significant reduction in the mean number of patient-initiated phone calls to the hospital from 2.3 (95% confidence interval [CI] 1.4–4.1) in the control group to 0.5 (CI 0.3–1.0) in the intervention group (P = 0.004). Across groups, patients reported similar perceptions of continuity of care; however, the participants in the intervention group expressed significantly improved perceptions of, and satisfaction with, access to healthcare after discharge.Conclusion: Access to eDialogue reduced patient-initiated phone calls to the hospital, enhanced patient satisfaction with healthcare accessibility, and did not compromise patients’ perception of continuity of care after discharge compared with standard communication pathways.
Impact of Heat Treatment on Dimensional Stability of Salix tetrasperma Roxb. Wood
Authors: Shabir Sufiya , Dutt Bhupender , Kumar Rajneesh , Sharma Dineesh , Bhat Gulam Mohidiun , Gupta Heena
Published: May 2024

The present investigation was carried out during the years October, 2021–September, 2022 in the Laboratory of the Department of Forest Products, Dr. Y S Parmar University of Horticulture and Forestry Nauni, Solan. Thermal modification was performed on the samples of Salix tetrasperma at various temperatures 60, 80, 100, 120, 140, 160 and 200°C for 2, 4 and 6h under stability oven, to asses its impact on wood dimensional stability. The data pertaining on maximum moisture content, swelling coefficient and shrinkage coefficient shows significant variation. The maximum moisture content at different temperature treatment, was recorded to be maximum (192.03%) in control and minimum (140.09%) at 200°C, whereas for durations the maximum moisture content (164.77%) was observed at 2 h while minimum (161.77%) at 6 h. Among interactions, the maximum value (192.03%) was observed in control and minimum (139.42%) was found at 200°C (6 h). In volumetric swelling and shrinkage coefficient, maximum values (8.03%) and (7.42%) among temperatures were found in control and minimum values (3.85%) and (3.42%) were observed at 200°C (6 h). Among durations, the highest values (5.94%) and (5.73%) were found at 2 h and the lowest values (5.60%) and (5.50%) were observed at 6h. The interactions in volumetric swelling coefficient showed significant results and the highest value (8.03%) was noticed in control and the lowest value (3.74%) at 200°C (6 h), However, interactions in volumetric shrinkage coefficient were found to be non-significant. This indicated that after thermal treatment, wood becomes less hygroscopic and exhibits less wear and tear, even in a harsh environment.
Grit and Gratitude as Predictors of Flourishing In Post-Pandemic Students
Authors: Sari Citra Ayu Kumala , Amalia Dillia Nur , Fatmala Dzakiyyah
Published: May 2024

The Covid-19 pandemic affected the level of individual flourishing, including students. However, research on flourishing with grit and gratitude as predictors still needs to be more explored. This study aims to determine the role of grit and gratitude towards flourishing in post-pandemic students. Voluntary convenience sampling was used to obtain respondents (N = 643 active students in the even semester 2021-2022). Data retrieval uses the grit scale, gratitude scale, and flourishing scale. Data analysis using multiple regression analysis obtained the result of the calculated F value of 490.061 with a significance value of 0.000 (p < 0.05). So, the variables grit and gratitude are predictors of flourishing variables. The effective contribution in the R Square column shows a figure of 0.605 or 60.5%. This means that the grit and gratitude variables contribute effectively to the flourishing intention variable by 60.5%. While other variables outside this study influenced the remaining 39.5%. They are partially showing that the most critical role in student flourishing in this study was grit (36.5%) compared to gratitude (24%). This study suggests that those who have higher levels of grit and gratitude will be able to maximize their abilities to obtain a quality and prosperous life, have positive emotions, and good study engagement.
Early Childhood Self Regulated Learning Based on Javanese Local Wisdom Jawa
Authors: Mutiah Titik , Budiarto Sulistyo , Pogadev Victor.A
Published: May 2024

Abstract. The study describes early childhood self-regulated learning (SRL) based on the Javanese philosophy in Ki Hadjar Dewantara (KHD) & Ki Ageng Suryamentaram (KAS) concepts. This used a phenomenological qualitative approach on 6 subjects (3-5 years old) dyadic with their mothers in Yogyakarta. The main data were collected through interviews, participant observation, and supported by data of the children’s developmental maturity by filling out the Temperament Assessment Scale, Child's behavior and SDIDTK checklists. Data analysis techniques were carried out by organizing data, grouping based on themes and answer patterns, testing existing assumptions or problems with the data, writing research results. The results showed that the SRL in line with the process of ‘Free Spirit’ of the 6 subjects varied and contained dynamic abilities in their process. The environment (parents/family) had not consistently implemented SRL in their ‘Among’ (Asah Asih Asuh & Ing Ngarsa Sung Tulada) and Kawruh Pamamong (Ngulawantah-lare/regulating children) systems. The ability of SRL subjects to understand (Ngerti Sumerep), to feel (Ngrasa Sih) and to action (Nglakoni Nrimo) still had no clear pattern on subjects. The internalization of SRL was in the process of co-regulatory behavior.
TINGKAH LAKU INGESTIF KAMBING SABURAI INDUKAN BERANAK DUA PADA LAKTASI PERTAMA DAN KEDUA DI GISTING ATAS KECAMATAN GISTING KABUPATEN TANGGAMUS
Authors: Yamartha Yamartha , Adhianto Kusuma , Liman Liman , Qisthon Arif
Published: May 2024

Tujuan dari penelitian ini untuk mengetahui tingkah laku ingestif dari kambing Saburai Indukan beranak dua dengan laktasi pertama dan kedua berdasarkan Tingkah Laku Makan Penelitian ini dilaksanakan pada bulan November 2021 yang bertempat di Kelompok Tani Makmur II di Desa Gisting Atas, Kecamatan Gisting, Kabupaten Tanggamus, Lampung.  Penelitian ini menggunakan metode deskriptif kuantitatif dengan pengambilan data secara pengamatan dan di analisis menggunakan analisis deskriptif. Hasil dari penelitian ini menunjukkan bahwa rata – rata lama waktu makan kambing Saburai indukan laktasi pertama yaitu 395,71 menit/ hari atau 6,60 jam/hari, dan pada kambing Saburai indukan beranak dua yaitu 342,78 menit/hari atau 5,71 jam/hari. Rata -rata lama waktu istirahat pada kambing indukan laktasi pertama yaitu 1.057,73 menit/hari atau 17,63 jam/hari, dan pada kambing Saburai indukan laktasi kedua yaitu 1.054,40 menit/hari atau 17,57 jam/hari. Rata – rata lama waktu ruminasi pada kambing indukan laktasi pertama yaitu 419,77 menit/hari atau 7,00 jam/hari, dan pada kambing indukan laktasi kedua yaitu 467,39 menit/hari atau 7,79 jam/hari.
PENGARUH KOMPOSISI CAMPURAN TONGKOL JAGUNG DAN AMPAS TAHU TERHADAP KANDUNGAN LEMAK KASAR, ABU, BETN, DAN TDN PRODUK FERMENTASINYA
Authors: Tamara Nina Yelly , Sutrisna Rudy , Liman Liman , Erwanto Erwanto
Published: May 2024

Penelitian ini bertujuan untuk mengetahui pengaruh komposisi campuran tongkol jagung dan ampas tahu terhadap kandungan lemak kasar, abu, Bahan Ekstrak Tanpa Nitrogen (BETN), dan Total Digestible Nutrien TDN.  Penelitian ini dilaksanakan pada 12 Januari—03 Februari 2023, di Laboratorium Nutrisi dan Makanan Ternak, Jurusan Peternakan, Fakultas Pertanian, Universitas Lampung.  Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) yang terdiri dari 4 perlakuan dan 5 ulangan.  Perlakuan yang diberikan yaitu P0 : tongkol jagung 50% + ampas tahu 50% (kontrol), P1 : tongkol jagung 50% + ampas tahu 50% + Rhizopus oligosporus 4%, P2 : tongkol jagung 60% + ampas tahu 40% + Rhizopus oligosporus 4%, P3 : tongkol jagung 70% + ampas tahu 40% + Rhizopus oligosporus 4%.  Variabel yang diamati meliputi lemak kasar, abu, Bahan Ekstrak Tanpa Nitrogen (BETN), dan Total Digestible Nutrien (TDN).  Data yang diperoleh dianalisis dengan Uji Jarak Berganda Duncan (DMRT).  Hasil penelitian menunjukkan bahwa persentase campuran tongkol jagung dan ampas tahu terfermentasi berpengaruh sangat nyata (P<0,01) terhadap lemak kasar (P0: 13,81 ± , P1: 12,21 ± , P2: 10,92 ± , dan P3: 4,94 ± ), berpengaruh nyata (P<0,05) terhadap abu (P0: 5,64 ± , P1: 4,65 ± , P2: 4,80 ± , dan P3: 4,85 ± ), berpengaruh sangat nyata (P<0,01) terhadap BETN (P0: 27,28 ± , P1: 30,15 ± , P2: 40,67 ± , dan P3: 40,67 ± ), dan berpengaruh sangat nyata (P<0,01) terhadap TDN (P0: 66,86 ± , P1: 69,01 ± , P2: 67,54 ± , dan P3: 60,51 ± ).  Perlakuan terbaik yaitu pada P1 terhadap kandungan abu dan TDN, pada P3 terhadap kandungan lemak kasar dan BETN.
Pengaruh Job Autonomy dan Burnout terhadap Job Crafting
Authors: Wardana Rezky Eka , Arafat Muhammad
Published: May 2024

Job crafting merupakan topik dalam bidang industry dan organisasi tentang bagaimana karyawan memaknai pekerjaannya. Tujuan penelitian ini untuk melihat pengaruh antara job autonomy dan burnout terhadap job crafting. Sampel yang digunakan dalam penelitian ini adalah 300 guru yang berdomisili pada wilayah Lampung dan Banten. Alat ukur yang digunakan yaitu Job Crafting Scale (JCS) yang dikembangkan oleh Tims et al, (2012), Job autonomy diukur menggunakan Breaugh Work Autonomy Scale (BWA Scale) yang telah di adaptasi oleh Saragih (2011), dan The MaslachBurnout Inventory yang telah di adaptasi oleh Nassar et al, (2020) yang selajutnya dilakukan pengujian validitas konstruk dengan menggunakan CFA. Berdasarkan hasil pengujian hipotesis, diperoleh bahwa job autonomy dan burnout memiliki pengaruh yang signifikan terhadap job crafting.
Keinginan untuk Tetap Bertahan Gen Z: Peran Kesejahteraan di Tempat Kerja
Authors: Luthfiana Nusaiba
Published: May 2024

Tujuan dari penelitian ini adalah untuk menyelidiki peran kesejahteraan di tempat kerja terhadap niat Gen Z untuk bertahan. Intention to stay mengacu pada kecenderungan seseorang untuk bertahan dalam organisasi tempatnya bekerja dalam jangka waktu yang lebih lama. Workplace well-being merupakan rasa sejahtera yang diperoleh dari pekerjaan yang berkaitan dengan perasaan pekerja secara umum. Desain survei cross-sectional digunakan dalam penelitian ini. Pengumpulan data dilakukan melalui Google form yang dibagikan kepada pegawai di wilayah Jabodetabek berusia 20-26 tahun dengan pengalaman kerja minimal 1 tahun dan pendidikan terakhir SMA atau sederajat. Kuesioner yang diselesaikan, diperoleh 160 jawaban. Instrumen pengukuran keinginan untuk tetap bertahan menggunakan skala Intention to Stay Scale dan kesejahteraan di tempat kerja diukur dengan Work Well-Being Questionnaire. Analisis statistik yang digunakan adalah statistik deskriptif, statistik korelasi Pearson, Confirmatory Factor Analysis, dan regresi eksponensial. Ada peran positif dan signifikan kesejahteraan di tempat kerja terhadap niat untuk bertahan di Gen Z Penelitian menunjukkan bahwa ketika karyawan merasa diperhatikan, dihargai, dan didukung di tempat kerja, mereka cenderung memiliki niat yang lebih tinggi untuk tetap bekerja.
Bagaimana Hardiness mempengaruhi Career Adaptability Karyawan Generasi Millenial
Authors: Prahara Sowanya Ardi , Wijaya Eko Gandhi
Published: May 2024

Saat ini kelompok generasi milenial atau gen Y menjadi penyumbang terbanyak sebagai karyawan di perusahaan, artinya dari berbagai sektor industri telah di dominasi oleh karyawan generasi milenial. Hal ini tentunya akan berpengaruh terhadap kesiapan dalam menghadapi perkembangan karier dan salah satu faktor yang dapat meningkatkannya adalah kemampuan hardiness karyawan generasi milenial. Tujuan penelitian ini adalah untuk melihat hubungan antara hardiness dengan career adaptability. Penelitian ini merupakan penelitian kuantitatif dengan metode uji korelasional. Adapun responden dalam penelitian ini adalah karyawan generasi milenial yang berusia 22-41 tahun dan sudah bekerja minimal 1 tahun (n = 80) yang diperoleh dengan menggunakan teknik purposive sampling. Instrumen yang digunakan untuk mengukur variabel hardiness adalah Skala Hardiness yang disusun oleh peneliti dengan mengacu pada Occupational Hardiness Questionaire (OHQ), sedangkan untuk mengukur variabel career adaptability menggunakan Skala Career Adaptability yang disusun peneliti dengan mengacu Career Adapt-Abilities Scale (CAAS). Adapun hasil dari analisis dengan menggunakan metode uji korelasi product moment antara hardiness dengan career adaptability pada karyawan generasi milenial di dapatkan nilai koefisien korelasi sebesar (r) = 0,792 dengan signifikansi 0,001 (p < 0,050). Berdasarkan hasil tersebut membuktikan bahwa terdapat hubungan positif yang signifikan antara hardiness dengan career adaptability pada karyawan generasi milenial.