bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk of Type 1 Diabetes Mellitus in SARS-CoV-2 Patients
Authors: Chahal Shweta , Raj Rojin G. , Kumar Ranjeet
Published: May 2024

Recent studies have found that a link between people with type 1 diabetes mellitus
(T1DM) are at higher risk of morbidity as well as mortality from COVID-19 infection, indicating
a need for vaccination. T1DM appears to impair innate and adaptive immunity. The overabundance
of pro-inflammatory cytokines produced in COVID-19 illness that is severe and potentially
fatal is known as a "cytokine storm." Numerous cohorts have revealed chronic inflammation
as a key risk factor for unfavorable COVID-19 outcomes. TNF-α, interleukin (IL)-1a, IL-1, IL-2,
IL-6, and other cytokines were found in higher concentrations in patients with T1DM. Even
more importantly, oxidative stress contributes significantly to the severity and course of COVID-
19's significant role in the progression and severity of COVID-19 diseases. Severe glucose excursions,
a defining characteristic of type 1 diabetes, are widely recognized for their potent role
as mediating agents of oxidative stress via several routes, such as heightened production of advanced
glycation end products (AGEs) and activation of protein kinase C (PKC). Furthermore,
persistent endothelial dysfunction and hypercoagulation found in T1DM may impair microcirculation
and endothelium, which could result in the development of various organ failure and acute
breathing syndrome.
Ultrasonographic Evaluation of Juvenile Localized Scleroderma: Enhancing
Objectivity in Diagnosis and Management
Authors: Türkmen Şeyma , Pirim Gülşah , Sözeri Betül
Published: May 2024

Background:

Although clinical assessment has historically been the primary method used for pediatric localized sclerosis (LS) diagnosis and staging, highfrequency
ultrasonography (HFUS) is being investigated as a more accurate evaluation method for lesion.

Objectives:

This study aimed to assess, compare dermal and subcutaneous tissue characteristics and enhance enhance lesion staging in pediatric LS patients
using HFUS.

Methods:

Twenty two LS patients were cross-sectionally evaluated with B-mode ultrasonography. Lesions were clinically staged, and dermal and
subcutaneous tissue characteristics were compared with healthy tissue using HFUS.

Results:

Among 55 lesions, 27 were active/new (49.1%), and 28 were atrophic/old (50.9%). Active lesions typically had increased dermal thickness in
66.6% of cases, while atrophic lesions often showed decreased dermal thickness (78.5%), with significant differences (p<0.05). Dermal
echogenicity decreased in 40.7% of active lesions but remained largely unchanged in atrophic lesions (82.1%) (p<0.05). Subcutaneous tissue
thickness significantly decreased in atrophic lesions (78.5%) and increased in 59.2% of active lesions, with a significant difference (p = 0.002).
Subcutaneous tissue echogenicity increased in 44.4% of active lesions and remained mostly unchanged in atrophic lesions (67.8%). Importantly, a
considerable proportion of lesions diagnosed as active through physical examination were actually inactive on HFUS evaluation (55.6%), while a
significant portion of lesions categorized as atrophic on physical examination displayed areas of inactivity upon ultrasonographic assessment
(35.7%). These findings highlight HFUS's potential as a valuable diagnostic tool and reveal discordances between clinical and HFUS staging.

Conclusion:

Ultrasonography offers an objective LS lesion evaluation, especially in pediatrics.
Prescription Data Mining and Network Pharmacology Study of 1152 Patients with Rectal Prolapse using Traditional Chinese Medicine
Authors: Zhang Meng , Tang Shao-liang , Yang Tong-ling , Cheng Yan , Gong Yue
Published: May 2024

Background:

In recent years, the incidence of rectal prolapse has increased significantly
due to the sedentary lifestyle and irregular eating habits of modern life. However, there is
a lack of clinical studies on the treatment of rectal prolapse with traditional Chinese medicine
(TCM) with a large sample size. Therefore, this study investigated the characteristics of rectal
prolapse treatment formulas and then studied the network pharmacology of their core therapeutic
drugs, which can help to provide a reference for the treatment and postoperative care of rectal
prolapse patients.

Objective:

This study aimed to explore the prescription characteristics and the mechanism of
action of core drugs in the treatment of rectal prolapse in Chinese medicine through data mining
and bioinformatics techniques.

Methods:

We collected the diagnosis and treatment information of patients with rectal prolapse
from January 2014 to September 2021 in the electronic case database of Nanjing Hospital of
TCM, mined the patient information and prescription features using R, screened the active ingredients
of the core pairs of drugs and disease drug intersection targets using TCMSP and
GnenCard databases, and constructed a Protein-protein interaction (PPI) network using
STRING and Cytoscape, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes
(KEGG) enrichment analyses of the intersecting targets were performed using Metascape
and R.

Results:

We found that prolapse is easy to occur in people over 50 years old, preferably in autumn
and winter. Commonly used therapeutic Chinese medicines include Glycyrrhiza glabra,
Radix angelicae sinensis, Radix astragali, Atractylodes macrocephala, and Pericarpium citri
reticulatae, which are mostly deficiency tonic medicines, warm in nature, and belong to spleen
meridian. The core therapeutic medicinal pair was “Bupleuri radix-Cimicifugae rhizoma”.
There were 190 common targets of Bupleuri radix and Cimicifugae rhizoma, and 71 intersection
targets of the drug pair and prolapse. The main components of the core drugs for the treatment
of prolapse may be quercetin, kaempferol, Stigmasterol, etc, and the core targets may be
CASP3, AKT1, HIF1A, etc. The total number of GO entries for the intersection targets of “Bupleuri
radix-Cimicifugae rhizoma” and diseases was 3495, among which the molecular functions
accounted for the largest proportion, mainly Pathways in cancer, IL-18 signaling pathway,
etc. KEGG enriched pathway analysis yielded 168 results, and the major pathways were pathways
in cancer, lipid and atherosclerosis, IL-17 signaling pathway, etc.

Conclusion:

This study adopted real-world research methodology and used data mining and
bioinformatics technology to mine the medication law of rectal prolapse and its core drug action
mechanism from the clinical information of Chinese medicine.
Harnessing the Therapeutic Potential of Plants and Plant-Derived
Constituents in Diabetic Neuropathy: Recent Advances and Challenges
Authors: Barbhuiya Sm Abdul Aziz , Dutta Partha Pratim , Barua Chandana Choudhury , Saikia Kalyani , Kakati Ajay
Published: May 2024

Diabetic Neuropathy (DN) stands as one of the most deleterious consequences of prolonged
hyperglycemia, affecting an estimated 50% of individuals with diabetes during their lifetime.
Despite the prominent role of oxidative stress and inflammatory pathogenesis in DN, its precise etiology
remains elusive. This study explores the recent strides in the field of plant interventions for
DN, shedding light on promising avenues while navigating through existing challenges.
A comprehensive search of the literature was carried out using keywords related to diabetes mellitus,
diabetic peripheral neuropathy, herbal medicine, plant extracts, phytoconstituents, and diabetic complications.
The search was conducted across different reputable scientific databases, including Medline,
Scopus, Google Scholar, PubMed, and others.
It has been observed that the antioxidant properties of plants and plant-derived constituents, especially
the phenolic constituents, coupled with their impact on inflammatory cytokines, opioid receptors,
nerve conduction velocity, and glial activation, exhibited potential in ameliorating impaired nerve
function through modulation of oxidative stress markers. Behavioral parameters, including mechanical
and thermal hyperalgesia, allodynia, and tactile allodynia, demonstrated notable improvement
following the oral administration of these plant interventions in in vivo animal models. Despite the
promising outcomes, challenges persist, encompassing a limited understanding of precise mechanisms,
variability in study designs, and a dearth of robust clinical evidence.
The study underscores the imperative for comprehensive research, standardization, and rigorous clinical
testing to fully unlock the therapeutic potential of herbal interventions in the management of DN.
Determining the Type and Frequency of Prescribed Antibiotics in Patients Admitted to the Infectious Department of Imam Khomeini Hospital in Jiroft, year 2021 (A Cross-Sectional Study)
Authors: Anaeigoudari Akbar , Raesi Rasoul , Heydarian Seyyedeh Mona Taghdisi , Mohammadnahal Leila , Daneshi Salman , Domari Asma Amiri , Jamali Ali , Kargar Shiva
Published: May 2024

Background

Indiscriminate administration of antibiotics and excessive use of these drugs increase microbial resistance.

Aim

This study aims to investigate the type and frequency of prescribed antibiotics in patients admitted to Imam Khomeini Hospital in Jiroft in 2021.

Methods

In this cross-sectional study, the files of 5100 patients hospitalized in the infectious disease department of Imam Khomeini Hospital in Jiroft were examined. The criteria for inclusion in the study were patients admitted to the infectious disease department of Imam Khomeini Hospital for whom antibiotics were prescribed in the treatment order. The data was collected through a checklist that included demographic information, type of antibiotic used, prescribed dose, season of prescribing, and expertise of the prescriber. Data were analyzed with SPSS software.

Results

The results of the study revealed that the average number of antibiotic items consumed per person in the infectious department of Imam Khomeini Hospital in Jiroft City was 1.95 ± 0.4. Also, the most common antibiotic used in the present study was ceftriaxone, which accounted for more than 70% of the total prescribed antibiotics, and the highest average number of antibiotic items studied per prescription was related to vancomycin. In addition, the highest frequency of prescribed antibiotics was related to the autumn season and was prescribed by an internist.

Conclusion

In this study, ceftriaxone is the most widely used antibiotic in the infectious sector. Also, the highest frequency of prescribed antibiotics was related to the autumn season and prescribed by an internist.
In Silico Analysis of Non-Synonymous Snps in the Human WWOX Gene
Authors: Sidhic Nihala , Subbiah Usha
Published: May 2024

Aim:

To analyse the nsSNPs associated with the human WWOX gene using
bioinformatics tools.

Background:

WW domain-containing oxidoreductase (WWOX) is a protein-coding gene
that controls several biological processes, including RNA splicing, transcription, and protein
degradation. The modification in the WWOX gene is associated with osteopenia,
metabolic syndrome, gestational diabetes, tumour progression, and disruption in lipid metabolism.

Objective:

The study focused on understanding the structural and functional distribution
of high-risk nsSNPs of the WWOX gene using several bioinformatics tools.

Methods:

Retrieval of nsSNPs of WWOX gene from NCBI and Uniprot database. Identification
of deleterious missense SNPs using the tools SIFT, Polyphen v2, PROVEAN,
FATHMM, PhD-SNP, and SNPs & GO. The gene-gene and protein-protein interactions
were investigated using GeneMANIA and STRING, respectively. The structural and
functional characterisation of the gene was predicted using I-Mutant, MUPro, SOPMA,
Alpha Fold, and NetPhos 3.1.

Results:

The study identified 7 out of 646 nsSNPs (rs193001955, rs200371768,
rs370792938, rs2303192, rs371364838, rs372362643, rs374343152) as deleterious. The
identified nsSNPs were destabilizing the WWOX protein. The secondary structure prediction
indicated that the majority of the nsSNPs were random coil and alpha-helix. Meanwhile,
phosphorylation was observed in several positions in threonine and serine residues,
and the least phosphorylation was observed for tyrosine in the WWOX gene. Phosphorylation
of high-risk variants of this gene may lead to alteration in the regulation of posttranslational
modification.

Conclusion:

Our study predicted 7 functional nsSNPs that had detrimental effects on the
structure and function of the WWOX gene. This will aid in the identification of candidate
deleterious nsSNPs markers as a potential therapeutic target for disease diagnosis.
Nucleobase and Peptide-based Designed Molecules for Biomedical Applications
Authors: Sen Shantanu , Kaul Grace , Verma Sandeep
Published: May 2024

:

Exploring a diverse range of bioinspired molecules is crucial for addressing real-world healthcare challenges and finding effective solutions. While
numerous materials have been proposed and developed, their compatibility and stability within biological systems remain not fully understood and
they are still undergoing extensive examination for their potential successful therapeutic translation. In this context, we aimed to provide an
overview of bioinspired molecules that incorporate peptide as well as nucleobase-derived frameworks and explore their potential applications in
the field of advanced therapeutics. Unlike many synthetic materials, these scaffolds exhibit remarkable biocompatibility, making them a promising
avenue for addressing these concerns.

:

The increasing demand for alternative biocompatible materials stems from the necessity for therapeutic solutions to address diverse biological
challenges. Therefore, compiling existing technologies may offer a comprehensive resource for researchers in this field.

:

In this review, special attention has been given to bioinspired molecules showcasing a diverse array of therapeutic functions, encompassing
gasotransmitters delivery-mediated neuromodulation, sensing, and detection of important biological analytes, tissue engineering, anti-aggregating
molecules, antibacterial compounds, anti-cancer molecules, etc.

:

This review has comprehensively summarized the design, practicality, and utilization of intriguing nucleobase or peptide-based bioinspired
molecules for their potential advanced therapeutic applications. Significant constraints within current biocompatible materials continue to impede
their potential for clinical translation and functional utilization. Hence, this review may inspire the readers to explore further significant findings in
the field of novel bioinspired molecules’ synthesis and their potential therapeutic applicability.
Nature's Remedy: Exploring Herbal Treatments for Polycystic Ovarian
Syndrome
Authors: Attri Meenakshi , Raghav Asha , Chaudhary Hema
Published: May 2024

:

Polycystic Ovarian Syndrome (PCOS) is a complex condition characterized by chronic
ovulation issues and hyperandrogenism, affecting approximately 6% to 20% of women of reproductive
age, depending on diagnostic criteria. Symptoms typically manifest during early adolescence,
presenting as irregular menstrual cycles, anovulation, and acne. While some mechanisms
underlying PCOS development have been identified, its precise etiology and pathophysiology
remain elusive.

:

This article delves into the pathogenesis and management of PCOS by exploring relevant literature
on PubMed. Various contributing factors to PCOS were meticulously examined, including
epigenetics, environmental toxins, stress, diet, inflammation, oxidative stress, hyperandrogenism,
insulin resistance, and obesity. This review examines the importance of herbal remedies in
addressing Polycystic Ovarian Syndrome (PCOS), focusing on the chemical makeup, mode of
action, and therapeutic uses of specific herbal medications targeting PCOS. However, despite
this investigation, there remains a significant gap in completed clinical trials on repurposed
drugs for PCOS, often with small sample sizes and inconclusive outcomes. Given the limited
research in this area, further studies and carefully planned clinical trials are warranted to understand
PCOS and its management better. Additionally, gaining deeper insights into PCOS could
facilitate the development of novel drugs targeting newly discovered pathways, thereby improving
treatment options for individuals affected by this syndrome
Reading, transmission, storage, and display of near real-time data acquired by fiber Bragg grating sensors installed on an unmanned aerial vehicle
Authors: Marceddu A.C.
Published: May 2024

Abstract. Fiber Bragg grating (FBG) sensors are a particular type of optical sensor capable of measuring multiple physical properties, like strain, temperature, and vibration. Their properties are of great interest for several use cases, including telecommunications, security, medicine, and biotechnology. This paper will discuss the progress of a project that uses them to monitor the health of an instrumented Unmanned Aerial Vehicle (UAV). Such operation is carried out on the ground in near real-time using software for intuitive data visualization.
Influence of fiber misalignment on the thermal buckling of variable angle tows laminated plates
Authors: Bracaglia Francesca
Published: May 2024

Abstract. Variable Angle Tows (VAT) are a class of composite materials with curved fiber paths within the lamina plane. The tailoring of VATs is a virtue that increased the interest in their study. On the other hand, the same freedom in the fiber deposition inevitably leads to manufacturing defects like misalignment that impact the structure behavior, particularly buckling. The present study investigates the influence of manufacturing fiber misalignment on the thermal buckling response of a VAT composite square plate. The governing equations are obtained within the Carrera Unified Formulation (CUF) framework combined with Finite Element Method. The thermal problem is schematized with a decoupled approach, and the critical loads are evaluated through the solution of an eigenvalue problem. The results show how the presence of random misalignment influences both the buckling critical temperature and the buckling mode.
A short overview of hydrogen storage for sustainable aviation
Authors: Bagarello S.
Published: May 2024

Abstract. The aviation industry is facing environmental challenges, prompting the need for aircraft technologies aligned with climate goals. Hydrogen has emerged as a clean fuel option, offering significant advantages in supply potential and sustainability. Reliable and safe storage technologies are crucial for integrating this fuel into aircraft design. This overview examines current storage technologies for hydrogen in aviation, emphasizing tank materials and structural aspects to enable sustainable fuel use. Requirements for integrating fuel systems into existing or new aircraft architectures are discussed, considering both gaseous and liquid hydrogen storage. Both high pressures and cryogenic storage conditions are explored. Materials for hydrogen tanks are reviewed, with a focus on improving efficiency and addressing issues like thermal insulation and hydrogen embrittlement.
Optimization strategies for a 16U CubeSat mission
Authors: Gemignani M.
Published: May 2024

Abstract. The surge in small satellite and CubeSat deployments has led to a diversification of feasible missions, driving a shift from emphasizing simplicity and low-cost to prioritizing performance while maintaining cost-efficiency. Integration of small payloads and advancements in technology have enhanced CubeSat capabilities, enabling the development of high-performance platforms. EXCITE, a 16U CubeSat mission, will demonstrate five different technologies in the LEO environment, including propulsion systems, a reconfigurable antenna, and on-board processing capabilities. To maximize EXCITE's capabilities and accommodate diverse payloads for various mission scenarios, multiple optimization strategies have been implemented. This includes thorough orbit analysis to determine the most suitable orbit for mission objectives, considering factors such as beta angles and eclipse time. The use of a chemical thruster provides flexibility in mission design by allowing adjustments to orbital altitude and ground-track patterns. Additionally, careful scheduling of orbital maneuvers is crucial for maximizing access time to specific ground stations and optimizing data downlink opportunities. Managing complex interactions between design variables necessitates advanced optimization techniques like gradient-based algorithms. OpenMDAO offers a robust framework for tackling multidisciplinary design optimization problems efficiently, facilitating exploration of trade-offs between competing design objectives.
Post mission disposal design: Dynamics and applications
Authors: Lu Xiaodong
Published: May 2024

Abstract. This research addresses post mission disposal design techniques with particular attention to long-term evolution of spacecraft orbits. Semianalytical dynamics models for orbital perturbations are developed to filter out short-periodic perturbation effects and more importantly to improve computational efficiency when dynamics models are integrated in the manoeuvre optimisation problem. The disposal of a spacecraft targeting an Earth re-entry is attained by employing natural orbital perturbations and enhancing natural effects with impulsive manoeuvres. Hamiltonian representations of the system are used to analyse dynamics behaviours and to validate the solutions obtained from optimisation processes.
Design, realization and testing of an azimuth-stabilized modular stratospheric platform
Authors: Marsili Irene
Published: May 2024

Abstract. In recent years, increasing investments from space industry are directed towards single or constellations of small satellites orbiting in LEO, which have significantly low cost with respect to other types of space missions, but require many years of development and large sums on an absolute scale. The development of new facilities that can cut costs during this phase is therefore of primary interest. One of the main cost items is the development and testing of space hardware, which shall be exposed to high-vacuum and high-level-radiation environment, that is both extremely difficult and expensive to recreate in laboratory. The cheapest option is the use of near-space platforms lifted by small-scale sounding balloons; however, they are not commonly employed because state-of-the-art gondolas for such balloons do not offer a stabilized frame. The work presented in this paper shows a successful attempt at designing and realizing a low-cost yaw-stabilized stratospheric platform, able of self-orienting at set azimuth direction. Active attitude stabilization was achieved via the use of a single reaction wheel placed along the main vertical axis of the platform, controlled by a PI software, and was accompanied by passive attitude stabilization techniques. Tests prove that a stabilized position can be achieved within ±5° of the selected pointing direction, which is preset or directly inputted by the user during platform operations. In this paper, a first application of the platform to host a payload of four solar cells is presented, but particular emphasis was given to modular design, so that the integration of a different payload would require the minimum amount of re-design.
Multilayer and multifield analysis of origami deployable structures
Authors: Sironi Tommaso
Published: May 2024

Abstract. The research focuses on design of origami deployable structures for space applications. The aim is to acquire new and in-depth knowledge on modeling deployable structures with simple origami folding patterns to enhance the reliability of subsystem design requiring the use of such structures. Mastery of the subject will also enable the analysis of the compatibility of flexible thin structures with electronic components such as flexible rigid PCBs, solar cells, or antennas. The most used method of modelling for the analysis of flexible structures is based on bar-and-hinge models (reduced degree-of-freedom models) which, although accurately describe the macroscopic behavior, are unable to capture local behavior at critical points such as folds and interface points with bonded rigid-flexible elements. Consequently, a refined analysis of the system is carried out by integrating the finite element Carrera Unified Formulation (CUF) in the bar-and-hinge model, which allows to reduce the number of degrees of freedom with respect to classical Finite Element Method (FEM). Such formulation is necessary for two main reasons. Firstly, integrating this formulation with classical reduced degrees of freedom models will allow analyzing the local behavior of the deployable structure while still keeping computational costs low. Secondly, the CUF model is well suited for modeling thin multilayer structures, consisting of layers of very different materials, thanks to the possibility of selecting an arbitrary approximation order along the thickness that is independent of the order of the model adopted in the plane. Such a powerful tool will also allow analyzing the behavior at the interface between distinct layers subjected to both mechanical and coupled thermomechanical stresses, a critical condition in space applications. The final step of the modeling involves research on controlled deployment methods, deepened to ensure greater system reliability and morphing capabilities. The developed models will be experimentally validated through test campaigns aimed at verifying that the stress and strain states resulting from the analyses are comparable to those evaluated in experimental tests. These tests will include, among others, deployment tests of structures with origami patterns or classic folding patterns to evaluate opening stresses and cyclic thermal fatigue tests to evaluate thermomechanical stresses at the interface between distinct layers. The comparison will provide the numerical model with additional robustness and make it a tool capable of predicting complex behaviors otherwise investigable only through experimental tests.
Deep learning-based spacecraft pose estimation for the pre-capture phase scenario
Authors: Prokazov Roman
Published: May 2024

Abstract. The increasing population of space debris in Low-Earth Orbit (LEO) poses a significant threat to operational satellites and future space endeavors. To address this challenge, leading aerospace companies worldwide are developing on-orbit servicing and debris removal satellites. These servicer satellites will be capable of complex orbital operations, such as capturing tumbling defunct spacecraft. A fundamental requirement for the success of such missions is the development of accurate spacecraft pose estimation, which provides the servicer's guidance and control system with precise information about the target spacecraft's attitude. This paper addresses the study of such a pipeline using deep learning and classical computer vision algorithms.
Factors of Incomplete Inpatient Medical Records Filling at Dr. H. Slamet Martodirdjo Regional General Hospital Pamekasan
Authors: Fajar Achmad , Holipah Holipah , Handayani Ike
Published: May 2024

Hospitals have an important role in improving health status by providing quality services, including complete medical record data and information. Complete and accurate medical records can be used for health care and patient treatment, evidence in law enforcement, medical discipline and medical ethics, educational and research purposes, basis of payment for health care costs, and health statistical data. This study aimed to identify the factors causing the incomplete filling of inpatient medical records at Dr. H. Slamet Martodirdjo Regional General Hospital Pamekasan. This research applied the descriptive observational method, with data collected through secondary data analysis using document studies and problem exploration using focus group discussions (FGD). The document study was conducted on 80 samples of inpatient medical records, while the FGD was conducted by inviting the head of the planning department, medical records officer, and 8 heads of inpatient wards to find out the causes and solutions for incomplete medical record files. The study results found that the number of incomplete medical records was 76.25%, with the highest percentage of incompleteness due to doctors, pharmacists, and nurses. The main problem causing the incompleteness of medical records was professional caregivers (PPA) who lacked discipline. The solutions obtained were management meetings and evaluations to professional caregivers, constructing policies that regulate reward and punishment systems, monitoring the checklists of medical record completeness, and routine evaluation of medical record files.
The Concept of Modeling the Risk of Green Building Implementation and their Impact on the Application of the Pentuple Bottom Line: Literature Review
Authors: Susanto Sony
Published: May 2024

Construction is the most significant contributor to global energy consumption. Several studies are currently being conducted to assess the risk of green construction projects, and risk modeling that considers sustainable variables is required. This study aims to evaluate, assess, and analyze the current literature on the concept of modeling the risk of green on the application of the pentuple bottom line, as well as to identify the associated themes and gaps. The Scopus databases were searched for risk green buildings using keywords such as "Risk," "green," and "building." Several papers were discovered and filtered based on their title, abstract, and keyword relevance. More articles were cross-referenced and filtered based on title, abstract, and keyword relevance—the method with Prisma protocol and Vosviewer. From 2006 to 2022, 1333 publications were discovered and analyzed using 12 bibliometrics. The approach to the likelihood and impact of the evaluation model is defined by taking five sustainable components into account (economic, social, environmental, religious, and technological). RGB = (Rp + Rse + Rm + Rt + Rs /5) is the outcome of the green building risk assessment formula.
Existing Model of Used Cooking Oil-Based Biodiesel Management in East Java
Authors: Angkoso Kurniawan Sekar
Published: May 2024

This research aims to find out the management model of biodiesel based on used cooking oil in East Java. In this study, researchers used a research method with a qualitative approach. The result of this research is that the management of biodiesel based on used cooking oil in East Java technically, no special field handles these problems, so the relationship between related agencies could have gone better. In the research findings in the field, the current model still needs to improve. The use of interpretive qualitative methods was to provide satisfactory information related to the required aspects of the research and for researchers to closely assess the respondents' views on the challenges of recycling used cooking oil to produce biodiesel. The management of used cooking oil-based biodiesel in East Java technically does not have a special field that handles this problem, so relations between related agencies do not run well. In the policy-making process, there has also yet to be an adjustment to the existing characteristics of society, resulting in the policy for managing used cooking oil-based biodiesel not being optimal.
Antropología de la Religión: Avistamiento a la dinámica de la sacralidad
Authors: Quintero Núñez Helmer , Jara Ramírez Milton Andrés , Palacios Vanegas Hector Fabian , Blanco Linares Carlos Hugo
Published: May 2024

Introduction: the sciences of religion have been involved in the understandings of transcendence and its derived relations. Objective: the present study recognizes the theoretical considerations held by the anthropology of religion on the dynamics of sacredness. Methodology: the study employed hermeneutics applying deductive technique. Result: the study identified the anthropological character of religion, its structure, and the notion of the sacred and the profane. Conclusion: The conceptions allow to assume that it is necessary to assume the manifestations of religiosity and spirituality in the understandings of the current social and cultural systems.
Impact of livestock and crop conversion support program on farm household income: A study in Chau Thanh A District
Authors:   Dean of Faculty of Economics, Ho Chi Minh University of Technology and Education, Ho Chi Minh City, Vietnam, Dang Quang Vang , Vuong Quoc Duy ,   Department of Finance and Banking, School of Economics, Can Tho University, Can Tho City, Vietnam
Published: May 2024

This paper investigates the impact of a support program for livestock and crop conversion on the incomes of farm households in the Chau Thanh A district of Hau Giang province. It analyzes data from 250 farming households in the area using the propensity score matching (PSM) method. The study uses probit regression to identify three key factors that significantly affect a household's ability to benefit from the support program: the size of the land owned, as well as the age and gender of the household head. Additionally, the PSM analysis reveals that farm households participating in the support program earn significantly more income than those that do not, with an annual income difference of 159 million VND. These findings support earlier research on the subject. Based on these results, the authors suggest several strategies to encourage more farm households to join the livestock and crop conversion support program, which could help improve their incomes and overall quality of life.
Identifying Learning Preferences and Strategies in Health Data Science Courses: Systematic Review
Authors: Rohani Narjes , Sowa Stephen , Manataki Areti
Published: May 2024

Background

Learning and teaching interdisciplinary health data science (HDS) is highly challenging, and despite the growing interest in HDS education, little is known about the learning experiences and preferences of HDS students.

Objective

We conducted a systematic review to identify learning preferences and strategies in the HDS discipline.

Methods

We searched 10 bibliographic databases (PubMed, ACM Digital Library, Web of Science, Cochrane Library, Wiley Online Library, ScienceDirect, SpringerLink, EBSCOhost, ERIC, and IEEE Xplore) from the date of inception until June 2023. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and included primary studies written in English that investigated the learning preferences or strategies of students in HDS-related disciplines, such as bioinformatics, at any academic level. Risk of bias was independently assessed by 2 screeners using the Mixed Methods Appraisal Tool, and we used narrative data synthesis to present the study results.

Results

After abstract screening and full-text reviewing of the 849 papers retrieved from the databases, 8 (0.9%) studies, published between 2009 and 2021, were selected for narrative synthesis. The majority of these papers (7/8, 88%) investigated learning preferences, while only 1 (12%) paper studied learning strategies in HDS courses. The systematic review revealed that most HDS learners prefer visual presentations as their primary learning input. In terms of learning process and organization, they mostly tend to follow logical, linear, and sequential steps. Moreover, they focus more on abstract information, rather than detailed and concrete information. Regarding collaboration, HDS students sometimes prefer teamwork, and sometimes they prefer to work alone.

Conclusions

The studies’ quality, assessed using the Mixed Methods Appraisal Tool, ranged between 73% and 100%, indicating excellent quality overall. However, the number of studies in this area is small, and the results of all studies are based on self-reported data. Therefore, more research needs to be conducted to provide insight into HDS education. We provide some suggestions, such as using learning analytics and educational data mining methods, for conducting future research to address gaps in the literature. We also discuss implications for HDS educators, and we make recommendations for HDS course design; for example, we recommend including visual materials, such as diagrams and videos, and offering step-by-step instructions for students.
Mindful Self-Compassion Smartphone Intervention for Worker Mental Health in Japan: Protocol for a Randomized Controlled Trial
Authors: Kurosawa Takumu , Adachi Koichiro , Takizawa Ryu
Published: May 2024

Background

Mental health problems among workers cause enormous losses to companies in Japan. However, workers have been considered to have limited access to psychological support because of time constraints, which makes it difficult for them to engage in face-to-face psychological support interventions.

Objective

This study aimed to present an intervention protocol that describes a randomized controlled trial to examine whether brief guided mindfulness meditation (MM) or self-compassion meditation (SCM) provided by a smartphone app is effective for mental health and work-related outcomes among workers.

Methods

This is an open-label, 3-arm randomized controlled trial. The participants will be recruited through an open call on relevant websites with the following inclusion criteria: (1) employees who are working more than 20 hours per week, (2) between the ages of 18 and 54 years, (3) not on a leave of absence, (4) not business owners or students, and (5) not currently diagnosed with a mental disorder and have a Kessler Psychological Distress Scale-6 score below 13 points. We will include 200 participants and randomly assign them to an SCM course (n=67), an MM course (n=67), and a waitlist group (n=66). The intervention groups (SCM and MM) will be instructed to engage in daily guided self-help, self-compassion, and MMs lasting 6-12 minutes per day over 4 weeks. Primary outcomes will include psychological distress and job performance, and secondary outcomes will include somatic symptoms, cognitive flexibility, self-esteem, self-compassion, perceived stress, well-being, emotion regulation, work engagement, anger, psychological safety, and creativity. All procedures were approved by the ethics committee of the University of Tokyo (22-326). All participants will be informed of the study via the websites, and written informed consent will be collected via web-based forms.

Results

The recruitment of participants began in December 2022, and the intervention began in January 2023. As of September 2023, a total of 375 participants have been enrolled. The intervention and data collection were completed in late October 2023.

Conclusions

This study will contribute to the development of effective self-care intervention content that will improve mental health, work performance, and related outcomes and promote mindful and self-compassionate attitudes when faced with distress.

Trial Registration

University Hospital Medical Information Network Clinical Trials Registry UMIN000049466; https://tinyurl.com/23x8m8nf

International Registered Report Identifier (IRRID)

DERR1-10.2196/53541
Assessing the Content and Effect of Web-Based Decision Aids for Postmastectomy Breast Reconstruction: Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Yu Lin , Gong Jianmei , Sun Xiaoting , Zang Min , Liu Lei , Yu Shengmiao
Published: May 2024

Background

Web-based decision aids have been shown to have a positive effect when used to improve the quality of decision-making for women facing postmastectomy breast reconstruction (PMBR). However, the existing findings regarding these interventions are still incongruent, and the overall effect is unclear.

Objective

We aimed to assess the content of web-based decision aids and its impact on decision-related outcomes (ie, decision conflict, decision regret, informed choice, and knowledge), psychological-related outcomes (ie, satisfaction and anxiety), and surgical decision-making in women facing PMBR.

Methods

This systematic review and meta-analysis followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A total of 6 databases, PubMed, Embase, Cochrane Library, CINAHL, PsycINFO, and Web of Science Core Collection, were searched starting at the time of establishment of the databases to May 2023, and an updated search was conducted on April 1, 2024. MeSH (Medical Subject Headings) terms and text words were used. The Cochrane Risk of Bias Tool for randomized controlled trials was used to assess the risk of bias. The certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation approach.

Results

In total, 7 studies included 579 women and were published between 2008 and 2023, and the sample size in each study ranged from 26 to 222. The results showed that web-based decision aids used audio and video to present the pros and cons of PMBR versus no PMBR, implants versus flaps, and immediate versus delayed PMBR and the appearance and feel of the PMBR results and the expected recovery time with photographs of actual patients. Web-based decision aids help improve PMBR knowledge, decisional conflict (mean difference [MD]=–5.43, 95% CI –8.87 to –1.99; P=.002), and satisfaction (standardized MD=0.48, 95% CI 0.00 to 0.95; P=.05) but have no effect on informed choice (MD=–2.80, 95% CI –8.54 to 2.94; P=.34), decision regret (MD=–1.55, 95% CI –6.00 to 2.90 P=.49), or anxiety (standardized MD=0.04, 95% CI –0.50 to 0.58; P=.88). The overall Grading of Recommendations, Assessment, Development, and Evaluation quality of the evidence was low.

Conclusions

The findings suggest that the web-based decision aids provide a modern, low-cost, and high dissemination rate effective method to promote the improved quality of decision-making in women undergoing PMBR.

Trial Registration

PROSPERO CRD42023450496; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=450496
Prosedur Pemotongan dan Kualitas Daging Sapi yang Dipotong di Tempat Pemotongan Hewan (TPH) di Kota Jayapura
Authors: Sambodo Priyo , Sayuri Fitria , Rumetor Sientje Daisy
Published: May 2024

Penelitian ini bertujuan untuk mengetahui prosedur pemotongan, kualitas fisik dan cemaran mikroba daging sapi yang dipotong di TPH di Kota Jayapura. Penelitian ini dilakukan di lima TPH yang ada di Kota Jayapura. Sampel daging diambil masing-masing sebanyak 25 gram/ekor/TPH. Pengambilan sampel dilakukan seminggu sekali pada setiap TPH dan diulang 3 kali. Prosedur pemotongan diamati secara langsung. Uji kualitas fisik daging sapi, meliputi: aroma, warna, konsistensi dan pH. Sedangkan uji cemaran mikroba daging menggunakan metode TPC untuk mengetahui jumlah bakteri/kuman dan metode MPN untuk mengetahui jumlah Coliform dan E. coli. Data prosedur pemotongan ditabulasi kemudian dilakukan analisa deskriptif. Kualitas fisik daging dianalisa deskriptif berdasarkan SNI 3932:2008 dan tingkat cemaran mikroba pada daging sapi berdasarkan SNI 7388:2009. Hasil: pada semua TPH pemeriksaan antemortem dan pemeriksaan postmortem tidak dilakukan; berdasarkan warna daging, terjadi penurunan tingkat mutu daging dari mutu II menjadi mutu III; sebanyak 3 sampel (18,75%) melebihi standar normal nilai TPC dan sebanyak 15 sampel (93,75%) memiliki nilai cemaran bakteri Coliform dan E. coli di atas batas normal; Kesimpulan: prosedur pemotongan belum memenuhi kriteria yang telah ditetapkan; kualitas fisik daging menurun berdasarkan parameter warna; dan hampir seluruh sampel daging memiliki cemaran mikroba di atas standar
Diagnosis of Feline Panleukopenia Based on Clinical Signs and Polymerase Chain Reaction in Various Ages of Cats
Authors: Ramadhani Mungky Ema , Indarjulianto Soedarmanto , Yanuartono Yanuartono , Raharjo Slamet , Purnamaningsih Hary , Widyarini Sitarina , Milla Yunita Apriana
Published: May 2024

Feline panleukopenia (FPL) is a viral infectious disease caused by the feline panleukopenia virus (FPV) that affects cats of all ages. Clinical symptoms that appear in each individual cat vary greatly, depending on age, immune status, and the presence or absence of secondary infection. The aim of this research was to diagnose the FPL based on clinical signs and polymerase chain reaction (PCR) in cat with various ages. This study used 15 cats that showed one of clinical symptoms including lethargy, anorexia, fever, diarrhea, and vomiting. All cats were examined physically and by PCR of blood, then analyzed descriptively. The results showed that 10/15 (66.7%) cats were <7 months, 4/15 (26.7%) were 7-12 months, and 1/15 (6.6%) was >1 year old. Identification by PCR showed that 100% of the samples positive, so that all of cats diagnosed FPL. Clinical signs that commonly appeared in this study included anorexia (80%), fever (80%), vomiting (73.3%), lethargy (66.7%), and diarrhea (40%). Young cats <7 months commonly showed anorexia, fever, vomiting, and lethargy, cats aged 7-12 months commonly showed anorexia, fever, vomiting, and diarrhea, cat aged >12 months experienced anorexia and vomiting. Concluded that the predominant clinical symptoms of FPL in young cats were anorexia, fever, vomiting and lethargy, whereas in adult cats anorexia, fever, vomiting, and diarrhea. Clinical symptoms can be used for initial screening of FPL, but the causative diagnosis needs to be determined by polymerase chain reaction.
Komparasi Metode coa Polymorphismdan coa Typingpada Bakteri Staphylococcus aureus yang Diisolasi dari Sumber Berbeda
Authors: Aziz Fatkhanuddin , Fitriana Fauziah , Setyorini Dian Ritma , Prihanani Nur Ika , Putri Shafira Amalia , Maulina Tifa Restyka , Dewi Vira Kartika , Andityas Morsid , Lestari Fajar Budi , Hidayah Nurulia , Ummami Risa , Fauzi Achmad
Published: May 2024

Staphylococcus aureus (S. aureus) merupakan golongan bakteri koagulase positif yang menyebabkan berbagai macam penyakit klinis pada manusia dan hewan. Determinasi pola gen coa merupakan salah satu metode yang sering digunakan dalam lingkup studi epidemiologi S. aureus. Penelitian ini dilakukan untuk membandingkan metode coa polymorphism dan coa typing pada isolat S. aureus yang diisolasi dari sumber berbeda. Tujuh belas koleksi isolat S. aureus asal susu pasteurisasi, susu mastitis kambing peranakan etawa, dan daging ayam segar ditumbuhkan dari stok gliserol -80oC, kemudian dilakukan ekstraksi DNA dan amplifikasi gen penyandi koagulase (coa) dengan teknik PCR menggunakan primer untuk coa polymorphism dan coa typing. Diketahui, level diskriminasi coa typing lebih variatif dibandingkan dengan coa polymorphism pada 17 isolat yang diuji. Metode coa typing menunjukkan 7 tipe berbeda, sedangkan coa polymorphism hanya 3. Empat dari 17 isolat tidak dapat ditentukan  coa typing, menunjukkan potensi pengembangan tipe baru coa typing untuk isolat-isolat asal Indonesia, untuk kepentingan studi epidemiologi.
Development of In-House ELISA using recombinant LipL32 for Detection of Human Leptospirosis in Indonesia
Authors: Sumarningsih Sumarningsih , Sekarmila Gita , Mulyadi Andi , Ahpas Ahpas , Tarigan Simson
Published: May 2024

Early laboratory confirmation is important for the accurate diagnosis and treatment of patient infected by leptospirosis. However, Microscopic agglutination test (MAT) as the gold standard for detection of human leptospirosis has many limitation and only available in reference laboratories. Therefore, many studies suggested LipL32 protein as a good candidate for development of leptospirosis detection kit because it is highly conserved and produced only in pathogenic Leptospira species. In this study, we aim to investigate the performance of our in-house ELISA using recombinant LipL32 to detect leptospirosis in Indonesia. Fourteen human sera were used in this study and the infection status were determine using MAT. The result showed that nine of eleven MAT positive sera were successfully recognized by LipL32 ELISA. The antibody binding to LipL32 was also confirm by immunoblot. There was one of three MAT negative sera has high OD above 0.5 in ELISA, but it showed negative reaction in immunoblot result. Overall, this study demonstrated that recombinant LipL32 protein can recognized antibody from human leptospirosis and can be used as a universal antigen to detect infection by any serovars of pathogenic leptospira.