bluuebunny/crossref_metadata_2025 huggingface dataset:
Sustainable Development of Universities in Poland – Identification of the Status and Possibilities of Support
Authors: Stasiuk-Piekarska Anna Katarzyna , Michalska Monika , Hordyńska Małgorzata
Published: January 2024

In the empirical dimension, the authors' intention was to define the criteria that should be taken into account by universities to meet the requirements of sustainable university development - in terms of activities and reporting through the analysis of good practices developed by top Polish universities. The aim was also to select activities that, based on benchmarks, could be used by universities at every stage of implementing SDG goals. This is not an easy task, considering that for educational institutions the priority is the educational process, and the implementation of the principles of sustainable development is only possible through an intensive educational process combined with the application of knowledge in practice. This is a challenge for the university because it requires remodeling the current culture, changes in processes and the perception of certain cultural and social phenomena, and will involve a change in the teacher-student relationship, a change in the traditional education process to practice-based education, and will also require an interdisciplinary context. in the content provided. But this is precisely the challenge for outstanding educators. The authors compared three significant world rankings to which Polish universities also report. They collected information and data mainly regarding the activities undertaken by the reporting Polish universities in the area of ​​developing good practices. Many ideas and tips will enable the preparation of further material, which the authors plan to deepen with a detailed analysis of SD indicators.
Long-Term Monitoring of Surface Water Dynamics and Analysis of Its Driving Mechanism: A Case Study of the Yangtze River Basin
Authors: Zhang Dong-Dong , Xu Jing
Published: January 2024

In-depth insights into the profound impacts of climate change and human activities on water resources are garnered through the dynamic changes in surface water, a crucial aspect of effective water resource management and the preservation of aquatic ecosystems. This paper introduces an innovative approach employing the random forest algorithm for the systematic extraction and monitoring of surface water at large regional or national scales. This method integrates spectral bands, spectral indices, and digital elevation model data, offering a novel perspective on this critical task. A data filling model is proposed to mitigate the impact of missing data due to cloud cover. Leveraging the capabilities of the Google Earth Engine (GEE), detailed information on surface water dynamics during the rainy and dry seasons in the Yangtze River Basin (YRB) from 1991 to 2021 is extracted using Landsat time series imagery. The analysis encompasses spatial-temporal variation characteristics and trends, with a specific focus on the intricate interplay between the areal extent of surface water and hydro-meteorological factors in each sub-basin of the YRB. Importantly, this includes considerations of potential groundwater contributions to surface water. Key findings from our research include: (1) Achieving a remarkable overall accuracy of 0.96 ± 0.03 in obtaining reliable surface water datasets with the support of GEE. (2) Identifying significant trends, such as a noteworthy increase in rainy season surface water bodies (+248.0 km2·yr−1) and a concerning decrease in surface ice/snow cover during both rainy and dry seasons, with change rates of −39.7 km2·yr−1 and −651.3 km2·yr−1, respectively. (3) Uncovering the driving mechanisms behind these changes, revealing positive correlations between the areal extent of rainy season surface water bodies and precipitation, as well as negative correlations between surface ice/snow cover area and average surface skin temperature. It is crucial to note that these driving factors exhibit variation among secondary river systems, underscoring the complexity of surface water dynamics. Furthermore, comparative analyses with existing surface water products are conducted, contributing to a deeper understanding of the advantages and uncertainties inherent in our proposed extraction method. The proposed method for large-scale surface water extraction not only enhances the monitoring of spatio-temporal surface water dynamics in the YRB but also provides valuable insights for the sustainable utilization and protection of water resources, considering the potential role of groundwater in supplementing surface water.
Genome and Epigenome Disorders and Male Infertility: Feedback from 15 Years of Clinical and Research Experience
Authors: Moncef Benkhalifa , Montjean Debbie , Beaumont Marion , Natiq Abdelhafid , Louanjli Noureddine , Hazout André , Miron Pierre , Liehr Thomas , Rosalie Cabry , Ratbi Ilham
Published: January 2024

Infertility is affecting around 20 % of couples in the age of procreation but however in some societies as many as one-third of all couples are unable to conceive. Different factors are contributing to male fertility declining such us endocrine disruptors environmental and professional exposures, oxidative stress and life style changes with risks of de novo epigenetics dysregulation. Since the fantastic development of new technologies of Omes and Omics , the contribution of inherited or de novo genomes and epigenome disorders contributions in male infertility are more elucidated and relevant. More than somatic genome investigation of infertile men (from chromosome to single or multiple gene point mutations) many others techniques become available in molecular andrology laboratory to investigate the genome and epigenome integrity, the maturation and the competency of the spermatozoa and its physiological environment. All those new methods of assessment are demonstrating the role of genetics and epigenetics disorders contribution on reproductive pathology and are helping the professional of assisted reproductive technology to propose different management strategy of male infertility to improve the clinical outcomes and minimize the risk of genetics or metabolic disorders at birth.
Synanthropic Rodents and Shrews Are Reservoirs of Zoonotic Bacterial Pathogens and Act as Sentinels for Antimicrobial Resistance Spillover in the Environment: A Study from Puducherry, India
Authors: Devanathan Nivedha , Mukhopadhyay Hirak Kumar , Sihag Krishan Kumar , Anthony Terence Nathan , Chakkaravarthi Aravindasamy , Srinivasan Lakshmy , Srinivas Mouttou Vivek , Vasu Jayalakshmi , Shanmugam Venkatesa Perumal , Rahi Manju , Devaraju Panneer
Published: January 2024

Antimicrobial resistance is a major public health concern. Rodents and shrews live in closer proximity to humans and animals and serve as reservoirs for the transmission of several diseases, including AMR pathogens. There is no data available from India on surveillance of AMR bacteria in rodents and shrews. In this study, bacterial pathogens viz, Staphylococcus sp, Escherichia coli and Salmonella sp were isolated from rodents and shrews and genetic elements conferring antimicrobial resistance in the pathogens were screened by PCR. Bacterial pathogens in the oropharyngeal and anal swabs collected from the rodents and shrews trapped (n=100) were cultured on selective media such as Mannitol salt, Mac Conkey and Xylose lysine deoxycholate media to isolate Staphylococcus sp., E. coli and Salmonella sp. respectively. A total of 76 (80%) S. aureus and 19 (20%) Staphylococcus non aureus were isolated. E. coli was isolated in 89 samples and among the Salmonella sp (n=59), 16 (27%) were S. enteritidis and 29 (49.1%) were S. typhimurium. In S. aureus isolates, mec A and mec C (MRSA) were detected in 40 (52.6%) and 6 (7.9%) isolates respectively. Also, 7 (36.84%) and 1 (5.3%) Staphylococcus non aureus isolates were tested to harbour mec A and mec C genes. A total of 77 (86.5%) E. coli isolates had genes encoding ESBL [TEM in 21 (23.59%), SHV in 45 (50.6%) and CTXM in 11 (12.4%)]. Among the 45 pathogenic Salmonella sp, 44 (97.78%) harboured AMR genes [tet in 13 (28.9%), sul3 & sul4 in 20 (44.4%) and qnrA in 11 (24.4%)]. Thirty-eight animals harboured more than one zoonotic pathogen and 21 with multi-drug resistant genes. Our findings signify that these rodents and shrews may serve as sentinels to screen environment spillover of AMR pathogens and also act as reservoir to transmit MRSA, ESBL, Salmonella sp. human/animals. Also these animals aid in the transfer of antimicrobial resistance genetic elements to non-pathogenic organisms.
The Effect of Ethoxyquin on Mitochondrial Function in Human Fibroblasts
Authors: Zighan Madleen , Levy Adi , Hoke Ahmet , Miller Chaya , Douiev Liza , Yu-Wai-Man Patrick , Arkadir Davis , Saada Ann
Published: January 2024

Ethoxyquin (EQ) is used as a synthetic antioxidant mainly in animal food, but it has also been reported to have neuroprotective properties by diminishing the peripheral neuropa-thy resulting from anti-cancer chemotherapy in animal models. However, EQ has not been thoroughly evaluated in humans and its use is under debate. The objective of this work was to examine the effect of EQ on primary fibroblasts derived from controls and patients with confirmed mitochondrial dysfunction. To this end, we incubated primary fibroblasts from patients with mitochondrial respiratory chain complex 1 (C1) deficiency, cyto-chrome-c-oxidase (COX) deficiency and genetic form of Parkinson’s disease (PD). Alt-hough EQ did not alter ATP production it significantly increased oxygen consumption and improved energy status in C1 and COX cells while decreasing ROS production in COX, PD and control cells and maintaining mitochondrial content. These effects could possibly be attributed to the antioxidant and chaperone-modulating properties of EQ and to induced SOD2 expression in some cells. Our results indicate that EQ has the potential to improve some mitochondrial functions. Still, caution should be exerted since overdose of this com-pound affected cell growth.
Procedural Memory Deficits in Preschool Children with Developmental Language Disorder in a Spanish-Speaking Population
Authors: Sanhueza Soraya , Urrutia Mabel , Marrero Hipólito
Published: January 2024

This study aimed to compare procedural learning skills between Spanish-speaking preschool children (ages 4 years to 4 years, 11 months) with Developmental Language Disorder (DLD) and their typically developing (TD) peers. Using the Serial Reaction Time task, participants (30 DLD and 30 TD children) respond to visual stimuli in a sequenced manner over four blocks, followed by a random order block. The task assessed reaction time (RT) and accuracy. Results showed a significant interaction between group and block for reaction time (RT) and accuracy, with children with DLD exhibiting longer RTs and accuracy deficits across blocks. In contrast, the TD group showed higher RT efficiency and accuracy in the sequential blocks and as expected, decreased performance in the random block according to the experimental manipulation. Overall, the results of this investigation suggest that there was no implicit learning in the DLD group, as indicated by the SRT task paradigms of procedural memory. These findings align with the Procedural Deficit Hypothesis (PDH), suggesting that linguistic deficits in the TD population may derive from a general dysfunction of the procedural memory system domain in the Spanish context.
Development of Reference Standards for the Sensory Analysis of Cheese: An Innovative Approach
Authors: Raverta Pericle , Seif Zadeh Negin , Zeppa Giuseppe
Published: January 2024

A sensory profile provides important information on the qualitative and quantitative properties of cheeses. Thus, tasters must be trained with reference standards that allow the calibration of the panel around shared sensory definitions. The ideal standard is simple to prepare, easily reproducible, discriminant and specific for the product evaluated. Therefore, commercial products and pure chemicals, which are currently implemented as reference standards, are not suitable. Furthermore, the lack of common practices in the dairy sectors has been widely highlighted. This study aimed to establish new and reproducible reference standards for the gustatory and olfactory descriptors of cheeses. Using casein, maize starch, powder skimmed milk and k-carrageenan, a tasteless and odourless product like a fresh cheese was produced. At this matrix, 20 odour and taste compounds have been added to obtain standards that have been evaluated by 60 tasters so as to define their recognisability and perceived intensity. These cheese standards are easy to reproduce, are stable and exhibited good recognisability. Overall, the reference standards proposed are suitable for the panel training and are a starting point for standardising practices and lexicon, thus enabling the comparability of sensory studies on cheese.
Dualistic effects of PRKAR1A as A Potential Anticancer Target in Cancer Cells and Cancer-Derived Stem Cells
Authors: Baek Joong-Won , Nam A-Reum , Kim Kyung-gon , Kim Pyung-Hwan
Published: January 2024

Cancer, a globally prevalent and often deadly disease, holds promise for improved treatment through the integration of innovative medical technologies and interdisciplinary collaborations. Despite advancements, current cancer therapies lack a specific focus on addressing recurrence and targeting cancer stem cells (CSCs), known contributors to relapse. In this study, we utilized three types of cancer cells and generated three types of CSCs derived from them to conduct proteomic analysis and identified shared cell surface biomarkers as potential targets for a comprehensive treatment strategy. The selected biomarkers underwent evaluation through shRNA treatment, revealing contrasting functions in cancer and CSCs. Knocking down the identified protein showed promising results in regulating epithelial-mesenchymal transition (EMT) and stemness via the ERK signaling pathway. This led to a reduction in resistance to anticancer agents, ultimately enhancing the overall anticancer effects. Additionally, the biomarker's significance in clinical patient outcomes was confirmed using bioinformatics. Our study suggests a novel cancer treatment strategy that addresses existing limitations in current anticancer therapies.
Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0
Authors: Andrianandrianina Johanesa Tojo Valisoa , Equeter Lucas , Mahmoudi Sidi Ahmed
Published: January 2024

Recent technological advancements such as IoT and Big Data have granted industries extensive access to data, opening up new opportunities for integrating Artificial Intelligence (AI) across various applications to enhance production processes. We can cite two critical areas where AI can play a key role in industry such as product quality control and predictive maintenance. This paper presents a survey of AI applications in the domain of Industry 4.0, with a specific focus on product quality control and predictive maintenance. Experiments were conducted using two datasets, incorporating different machine learning and deep learning models from the literature. Furthermore, this paper provides an overview of the AI solution development approach for product quality control and predictive maintenance. This approach includes several key steps, such as data collection, data analysis, model development, model explanation, and model deployment.
Mixotrophic Syngas Conversion Enables the Production of Meso-2,3-Butanediol with Clostridium autoethanogenum
Authors: Oppelt Anne , Rückel Anton , Rupp Markus , Weuster-Botz Dirk
Published: January 2024

Providing simultaneously autotrophic and heterotrophic carbon sources is a promising strategy to overcome the limits of autotrophic syngas fermentations. D-xylose and L-arabinose are particularly interesting as they can be obtained by the hydrolysis of lignocellulosic biomass. The individual conversion of varying initial concentrations of these pentoses and D-fructose as reference was studied with C. autoethanogenum in fully-controlled stirred-tank reactors with a continuous syngas supply. All mixotrophic batch processes showed increased biomass and product formation compared to an autotrophic reference process. Simultaneous CO and D-xylose or L-arabinose conversion was observed in contrast to D-fructose. In the mixotrophic batch processes with Larabinose or D-xylose, the simultaneous CO and sugar conversion resulted in high final alcohol to acid ratios of up to 58 g g-1. L-arabinose was superior as a mixotrophic carbon source because biomass and alcohol concentrations (ethanol and 2,3-butanediol) were highest, and significant amounts of meso-2,3-butanediol (>1 g L-1) in addition to D-2,3-butanediol (>2 g L-1) were solely produced with L-arabinose. Furthermore, C. autoethanogenum could not produce meso-2,3 butanediol under purely heterotrophic conditions. The mixotrophic production of meso-2,3-butanediol from Larabinose and syngas, both available from residual lignocellulosic biomass, is very promising for use as a monomer for bio-based polyurethanes or as an antiseptic agent.
Unidentified Patients in Emergency Room: Navigating Trauma in India’s Healthcare System – a Case Series
Authors: Kumar Amit , Singh Sourabh , Verma Rashmi , Tomar Sona
Published: January 2024

Background: India leads in road traffic accident (RTA) deaths, according to the 2018 World Road Statistics. Most unidentified patients exhibit poor Glasgow Coma Scale (GCS) scores ,often less than eight , heightened trauma severity, and suboptimal outcomes despite standard treatment. Our study concentrates on individuals involved in hit-and-run RTAs or found unconscious and brought to the emergency department and their final outcome.Case Presentation: We are presenting a case series featuring five patients admitted to our hospital for treatment. At the time of admission, all these patients' identities were unknown.We did not face any legal challenges in managing the unidentified patients as we followed preestablished protocols. We report a case series of five male patients who had been admitted after road traffic accidents. All of them regained consciousness after conservative management. These complex cases frequently led to extended hospital stays, underscoring the intricacies of providing care to individuals with uncertain medical histories. All of the patients were treated and successfully discharged. Conclusion: Addressing challenges with unidentified adult patients requires proactive measures like staff training and improved resources. In a developing nation, prioritizing public awareness on road safety, prehospital trauma care, and enhancing healthcare delivery, especially in hospitals, is essential for optimal outcomes.
The Efficacy of a Novel Compound from Bovine Milk Colostrum Exosomes and Its Growth Factors in Enhancing the Process of Wound Healing
Authors: Najafzadeh Mojgan , Jafarinejad Shohreh , Baumgartner Adi , Elies Gomez Jacobo
Published: January 2024

The management of wounds is a significant issue that impacts individuals, healthcare systems, and society at large. This study evaluates Rigemed D (RD), a novel compound extracted from Bovine Colostrum with a unique combination of 20 different growth factors and exosomes, known for its exceptional properties in promoting cell proliferation and regeneration. This study aims to determine the effects of different doses of RD on cell survival (using CCK8) and to assess its antioxidant effect using the Comet assay in the presence of hydrogen peroxide (H2O2) on two human cell types, fibroblasts and immortalised keratinocytes (HaCat cell line). The study results revealed that RD, at doses of 1, 1.5, and 2 % v/v, significantly improved cell viability four, six, and 12 times, respectively, compared to the control group (p < 0.00001). Furthermore, the Comet assay showed a two-fold reduction in DNA damage in RD-treated cells at 2% v/v without and with H2O2 (p < 0.001). The effect of RD on cell proliferation and migration was evaluated using a scratch assay on fibroblasts and HaCat cells. The findings demonstrated a four-fold increase in cell proliferation and migration at 1 and 24 hours (p < 0.001). Immunohistochemistry confirmed this claim (p < 0.001). Also, angiogenesis induction of RD was assessed on human vein umbilical endothelial cells (HUVEC), showing that RD significantly enhanced the proliferation of endothelial HUVEC cells (p < 0.0001). In conclusion, RD is a promising vitalising compound with exceptional capabilities in promoting cell proliferation, migration, and regeneration. It also shows a significant antioxidant effect and has the potential to support all phases of wound healing involving cell proliferation, re-epithelialisation, angiogenesis, and tissue maturation. Hence, the present formulation presents a promising foundation for developing a 3D bio-printed membrane, potentially expediting the wound healing process.
Development of Neural Networks to Study the Behavior of a Micro-alloyed Medium Carbon Steel during Hot Forming
Authors: Mesnaoui Anas Al Omar , Calderón Pau Català , Larrión José Ignacio Alcelay , Pitarch Esteban Peña
Published: January 2024

In the present article, the application of an artificial neural network (ANN) model is studied, whose function is the development of plastic instability maps of a medium carbon microalloyed steel during the hot forging process. And, secondly, we proceed to create another neural network capable of providing the recrystallized grain size in the steady state phase resulting from the deformation by hot forging, thus creating a methodology that can be applied to different types of processes and materials.
In order to achieve this objective, we start from the experimental data of a medium carbon microalloy steel, obtained by hot compression tests, for strain rates that vary between 10-4 and 3 s-1 and in a range of temperatures between 900 oC and 1150 oC. These experimental data will be used to train the neural network that is intended to be created in this work. Once trained, it will be verified if the results of the test correspond to the experimental data and the fluency curves will be obtained. Finally, the processing maps will be developed applying the Dynamic Materials Model (DMM), according to which the safe domains to forge the material and the plastic instability domains are delineated, to be avoided during the forging process. The maps obtained by means of RNA will be compared with the experimental ones and it will be possible to verify that the optimal regions of forging in the maps obtained by RNA coincide with those obtained by means of experimental data. In addition, a study of the influence of the microstructure on the behavior of steel during hot forming will be carried out, since the experimental tests are carried out at austenitizing temperature, so the microstructure is different in each test.
Considerations on the Roles and Homoeostasis of Essential Trace Elements in the Human Brain
Authors: Da Silva José Armando L.
Published: January 2024

The brain is a central organ in all animals (with exception of some invertebrates) that controls very relevant roles in the organism. Its activity requires several metabolic pathways in which essential trace elements are important players, and whose performances are related with their (bio)chemical features. Despite their specificities, an integrated approach of the essential trace elements in brain, based on their homoeostasis and competition with other elements (including toxic ones) can promote links among different research fields related with this organ. Roles and hypothetical activities of essential trace elements (chromium, cobalt, copper, iodide, manganese, molybdenum, selenium and zinc) in brain will be discussed.
Analysis on Business Risk Measurement and Influence Factors of Plantation-Based Farmer Cooperative: Evidence from Guizhou Province, China
Authors: Liang Genhong , Zhang Zhuo , Wu Peirong , Zhang Zhijie , Shao Xiwu
Published: January 2024

Plantation-based farmer cooperatives play an important role in promoting agricultural modernization and increasing farmer income, and the management of business risks of such cooperatives not only influences the development of the cooperatives themselves, but also concerns the interests of farmers. Based on the survey data of 226 sample cooperatives from Guizhou province, this article uses factor analysis to measure business risks of plantation-based farmer cooperatives and carries out empirical tests on influence factors of business risks through structural equation model. According to the research results, the ordering of business risks of plantation-based farmer cooperative based on their significance is as follows: market risk > policy risk > natural risk > technical risk > management risk. Influence factors including policy environment, economic environment, social service environment, technical environment, resource endowment of the cooperative and manager characteristics have significant positive influence on the cooperative, with economic environment and manager characteristics generating relatively stronger influence and social service environment generating relatively weaker influence. Through this research, several policy implications on driving high-quality development of plantation-based farmer cooperative are made, including specifying supportive policies of plantation-based farmer cooperative, improving economic environment of agricultural market, upgrading agricultural infrastructure, depending reform of land transfer system, and enhancing internal management of the cooperative.
Photoacoustic Imaging of Human Skin for Accurate Diagnosis and Treatment Guidance
Authors: Ying Yue , Zhang Hong , Lin Li
Published: January 2024

Photoacoustic imaging (PAI) is a cutting-edge biomedical imaging modality, providing detailed anatomical and functional information about the area beneath the skin surface. Its light energy deposition is such that PAI typically provides clear images of the skin with high signal-to-noise ratios. Specifically, the rich optical contrast of PAI allows biological information related to lesion growth, malignancy, treatment response, and prognosis to be seen. Given its significant advantages and emerging role in imaging skin lesions, we summarize and comment on representative studies of skin PAI, such as the guidance of skin cancer biopsies and surgical excisions, and the accurate diagnosis of psoriasis. We conclude with our insights about the clinical significance of skin PAI, showing how its use to identify biological characteristics in lesion microenvironments allows early diagnosis and prognosis of disease.
Understanding Delegated Legislation in The Natural Resources Sector
Authors: Fatih Sholahuddin Al , Safaat Muchamad Ali , Widiarto Aan Eko , Al Uyun Dhia , Nur Muhammad
Published: January 2024

The formation of statutory regulations is based on the authority to form. The formation of delegated regulations can originate from orders or authority. In the P3 Law, it is stated that delegated regulation is not only limited to (or “there is a space for delegated regulations other than “) Government Regulations, Presidential Regulations, and Regional Regulations, so it becomes hyper-regulation. This happens in laws and regulations in the field of natural resource management. This article aims to explain the condition of existing delegated regulation in the field of natural resources and its impact on the use of natural resources. The results of this research show that the position and types of delegated regulation in the field of natural resources are not only in the form of Presidential Regulations, Government Regulations, Ministerial Regulations, and Regional Regulations but also delegated legislation regulated in Article 8 of the P3 Law, which is not small in number The implications of delegated legislation can provide technically detailed implementing regulations down to the lowest level institutions/institutions. However, delegation not explicitly limited by the delegation criteria causes hyper-regulation by the executive agency through its functional authority. Apart from that, it opens space for unsynchronization between the substance of higher regulations and delegated regulations, thereby causing ineffective use of natural resources. This study recommends that changes be made to the Law on the Establishment of Laws and Regulations, especially concerning its hierarchy.
The Influence of Green Tax Regulations on New Renewable Energy Funding in Indonesia
Authors: Leonard Tommy , Heriyanti Heriyanti , Pakpahan Elvira Fitriyani , Fenitra Rakotoarisoa Maminirina
Published: January 2024

Reen taxes, such as carbon taxes, can help countries invest in the latest technologies and achieve sustainable prosperity by funding renewable energy. However, we see that the current tax system still needs to be improved. This research aims to analyze the Influence of Green Tax Regulations on New Renewable Energy Funding in Indonesia. This research employs a normative legal approach informed by a literature review. The research results show that the various regulations regarding green tax regulations impact the non-maximization of new renewable energy funding. Taxes can generate government revenue by trading carbon credits to reduce greenhouse gas emissions. Additional funds can be used to fund initiatives in alternative settings. Green taxes, such as carbon taxes, can help countries invest in emerging technologies and achieve sustainable prosperity by providing funding for renewable energy.
Development of STEM-Based Physics E-Module with Self-Regulated Learning to Train Students’ Creative Thinking Skills
Authors: Dwi Ayu Lestari  , Suwarma Irma Rahma , Suhendi Endi
Published: January 2024

Twenty-first century skills are recognized as a competency standard that students need to possess to support the demands of success both in work and in life in the future, especially in learning. In line with this, learning that can accommodate 21st-century skills is learning that has a balance between the scientific approach and the use of technology. One of the efforts that can be made is to develop teaching materials in the form of electronic modules that integrate Science, Technology, Engineering, and Mathematics (STEM) to train creative thinking skills that are also adjusted to the applicable school curriculum. However, most of the teaching materials, especially the modules that are used in general, are only printed modules. Based on these problems, we need electronic modules (e-modules) that direct students to have 21st-century skills and the dimensions that exist in the independent learning curriculum. This study aims to develop an e-module based on STEM and self-regulated learning about global warming topics to train students’ creative thinking skills. This type of research involves adapting a 4-D development model. Which consist of defining, designing, developing, and disseminating. The data were gathered through questionnaires and tests. The questionnaire instrument consists of an expert validation questionnaire of three experts. Meanwhile, the test instrument consisted of a pre-test and a post-test, which were tested on 32 students in class X majoring in science. The N-gain score for creative thinking skills is 0.60 in the medium category. Based on the results of this study, the development of a STEM-based physics e-module with self-regulated learning on the global warming topic can train students' creative thinking skills.
Physics Micro Learning Video: Forming Pancasila Learner Profiles in Physics Learning
Authors: Bakri Fauzi , Imtihani Hajar , Muliyati Dewi , Sumardani Dadan
Published: January 2024

Pancasila learner profiles can be implemented in physics learning. This article publishes the results of research and development of physics learning videos. This physics learning video presents physics lessons that shape the Pancasila learner profile. Physics content is a wave that is presented contextually. This learning physics video use research and development of the Lee & Owens model. Product feasibility was assessed using a questionnaire by experts. The components assessed are the feasibility of the physics content, the feasibility of the learning process, the feasibility of the wave concept physics learning media in -learning videos. Sequentially get an assessment of 93.75%, 98.0%, 99.0%. The The implementation of the learning process on learning video products has facilitated the formation of Pancasila learner profiles. Overall, it can be concluded that the resulting physics learning video is very appropriate to be used to form a profile of Pancasila students.
Development of Guided Inquiry based on Blended Learning (GIbBL) Teaching Module for Physics in the Independent Curriculum
Authors: Herliana Fitria , Kasli Elisa , Azhariah Siti Kalsuma , Mahzum Elmi , Farhan Ahmad , Nurulwati Nurulwati , Syukri Muhammad , Mohtar Lilia Ellany
Published: January 2024

This study aims to develop a teaching module with a guided inquiry model based on blended learning (GIbBL) that can be applied in the independent curriculum. This kind of research uses the ADDIE development paradigm, which consists of the following steps: 1) Analysis, 2) Design, (3) Development, 4) Implementation, and 5) Evaluation. Due to time constraints, the teaching module in this study was only develop to the development stage. The feasibility of the teaching modules was assessed through expert validation tests and practicality tests, which involved gathering responses from research subjects. The subjects of this study were physics teachers and students of class XI SMAN 7 Banda Aceh. The data collection technique employed in this study utilized a questionnaire instrument, comprising a material and learning design expert validation questionnaire, as well as a teacher and student response questionnaire. Data analysis involved percentage descriptive analysis. The results of the material expert validation test demonstrated a percentage of 93,25%, while the learning design expert validation test yielded 91,5%, both falling within the "very valid" category. Furthermore, the teacher response test resulted in a percentage of 96,2%, and the student response test amounted to 88%, both categorized as "very good." Based on the research findings, it can be concluded that the guided inquiry based on blended learning (GIbBL) teaching module is deemed feasible for application in the learning process within an independent curriculum.
Using the Proximal Femur Maturity Index at Brace Initiation for Adolescent Idiopathic Scoliosis Predicts Curve Progression Risk
Authors: Cheung Prudence Wing Hang , Wong Janus Siu Him , Luk Keith Dip Kei , Cheung Jason Pui Yin
Published: January 2024

Background:

The Proximal Femur Maturity Index (PFMI) can be used to assess skeletal maturity on existing whole-spine radiographs without additional radiation. However, the relationship between the PFMI at the initiation of bracing for adolescent idiopathic scoliosis (AIS) and subsequent curve progression remains unknown. This study aimed to investigate the relationship between the PFMI and curve progression, and the predictability of risks to adulthood curve progression and surgical thresholds based on the PFMI grade at brace initiation.

Methods:

This was a prospective study of 202 patients with AIS who were prescribed underarm bracing according to the Scoliosis Research Society criteria and had good brace-wear compliance. The patients were followed from brace initiation until complete skeletal maturity. Longitudinal data on the coronal Cobb angle and skeletal maturity assessments using Risser staging, Sanders staging, the distal radius and ulna classification, and the PFMI were collected. Each patient was assessed on whether the major curve progressed to ≥40° (adulthood deterioration) and ≥50° (the surgical threshold). Logistic regressions were used to predict probabilities of curve progression to the 2 thresholds, adjusted for factors that were significant in univariate analyses.

Results:

The PFMI correlated with the other skeletal maturity indices (rs [Spearman rank correlation] = 0.60 to 0.72, p < 0.001 for all). The pre-brace PFMI grade correlated with progression to ≥40° (rrb [rank-biserial correlation] = −0.30, p < 0.001) and to ≥50° (rrb = −0.20, p = 0.005). Based on regression models (p < 0.001) adjusted for the pre-brace major Cobb angle and curve type, brace initiation at PFMI grades 2 and 3 for a curve of ≥30° had predicted risks of 30% (95% confidence interval [CI], 4% to 55%) and 12% (95% CI, 7% to 17%), respectively, for progression to the surgical threshold. Brace initiation at PFMI grade 5 had 0% progression risk.

Conclusions:

The PFMI can be used for predicting curve progression and prognosticating brace outcomes in AIS. Patients with brace initiation at PFMI grade 4 for a curve of <30° or at grade 5 were unlikely to progress to the adulthood deterioration or surgical threshold. In comparison, skeletally immature patients initiating bracing at a PFMI grade of ≤3 for a major curve of ≥30° had a higher risk of progression despite compliant brace wear.

Level of Evidence:

Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
Mozaik Kisah Penguat Sesama Di Masa Pandemi Covid-19
Authors: Eviyanti Ade
Published: January 2024

Rasa syukur selalu tercurah kepada Allah SWT yang senantiasa melimpahkan rahmat, hidayah serta kesehatan, sehingga kami dapat melaksanakan program Kuliah Kerja Nyata Tangguh (KKN-Tangguh) Universitas Muhammadiyah Sidoarjo tahun 2020. Kuliah Kerja Nyata (KKN) adalah program yang ditempuh mahasiswa Universitas Muhammadiyah Sidoarjo merupakan perwujudan dari salah satu Catur Dharma Perguruan Tinggi, yaitu bermaksud memberikan pengalaman secara langsung baik fisik maupun mental kepada calon sarjana dengan terjun bersama masyarakat dengan menerapkan ilmu jurusan masing-masing. Didalam KKN-Tangguh 2020 Universitas Muhammadiyah Sidoarjo, lokasi kegiatan tersebar di berbagai wilayah yakni berbagai desa di Sidoarjo meliputi Desa Urang Agung, Perumahan Surya Asri Desa Sidokepung, Desa Larangan, Desa Buduran, Desa Wage, Perumahan DPU Waru, Perumahan Griya Candramas Desa Pepe, Desa Balongdowo, Desa Sidokare, Desa Grabagan, Desa Kalipecabean, Desa Lebo. Serta desa di Pasuruan yakni Perumahan Gempol Citra Asri Desa Kejapanan, dan Dusun Kedung Turi, Beji, dan Desa Kudu Kertosono Nganjuk.
Kisah Pengabdian Masyarakat di Kala Pandemi Mahasiswa Universitas Muhammadiyah Sidoarjo
Authors: Astuti Cindy Cahyaning
Published: January 2024

Puji syukur atas segala rahmat serta hidayah yang telah Allah SWT berikan kepada kami, sehingga dapat menyelesaikan program Kuliah Kerja Nyata Tangguh 2020 Universitas Muhammadiyah Sidoarjo. Sedikit berbeda dengan KKN sebelumnya karena KKN Tangguh ini dilaksanakan di desa tempat tinggal masing-masing setiap mahasiswa karena adanya virus Covid 19 tidak di perkenankan mengundang atau mengumpulkan banyak orang dan bersifat individu. Program Kuliah Kerja Nyata merupakan pelaksanaan Catur Dharma Perguruan Tinggi yang terdiri dari pengembangan ilmu pengetahuan, penelitian, dan pengabdian pada masyarakat. Kuliah Kerja Nyata (KKN) adalah program intrakulikuler (kegiatan utama yang dilakukan dengan menggunakan alokasi waktu yang telah ditentukan dalam struktur program) yang dilaksanakan oleh mahasiswa UMSIDA yang memadukan bentuk kegiatan pendidikan dan pengajaran, penelitian, pengabdian masyarakat, serta penguatan Al-Islam dan Kemuhammadiyahan.
Keping Abdi Kala Pandemi
Authors: Eviyanti Ade
Published: January 2024

Puja dan Puji syukur kami panjatkan kehadirat Tuhan Yang Maha Esa yang telah memberi rahmat dan hidayah-Nya, sehinga kami dapat melaksanakan dan menyelesaikan program Kuliah Kerja Nyata Tangguh (KKN-Tangguh) Universitas Muhammadiyah Sidoarjo tahun 2020. Kuliah Kerja Nyata (KKN) adalah program yang ditempuh mahasiswa Universitas Muhammadiyah Sidoarjo merupakan perwujudan dari salah satu Catur Dharma Perguruan Tinggi, yaitu bermaksud memberikan pengalaman secara langsung baik fisik maupun mental kepada calon sarjana dengan terjun bersama masyarakat dengan menerapkan ilmu jurusan masing-masing. Pada dasarnya tujuan dan penyusunan laporan ini dimaksudkan untuk memberi gambaran mengenai keseluruan rangkaian kegiatan KKN kami, serta untuk memenuhi syarat yang wajib ditempuh oleh setiap mahasiswa Universitas Muhammadiyah Sidoarjo program S1
Variación de las importaciones de equipos médicos en el Perú durante el período 2015 - 2021 sobre la base de factores nacionales e internacionales
Authors:   , Maldonado Valle Lupe del Pilar , Rojas López Matthews Roberto
Published: January 2024

El objetivo trazado a partir de la investigación planteada fue establecer la variación la variación de las importaciones de equipos médicos durante el periodo 2015-2021 sobre la base de factores nacionales e internacionales; trabajando bajo un enfoque cuantitativo de tipo retrospectivo, con diseño no experimental, utilizando como instrumento el análisis documentario que permitió recopilar información existente del mercado de equipos médicos (2015 – 2021). Con base en los resultados y según las partidas analizadas, 9018110000, 9018120000, 9018130000, se mostró un incremento en las importaciones del periodo de tiempo estudiado, determinando que para el año 2021 según las partidas de estudio, las importaciones tuvieron una variación porcentual de -23%, 21% y 43% respectivamente. Referente a los factores asociados a la investigación como el TCR, PBI y CIF los cuales fueron analizados por un modelo econométrico, dando como resultado un R cuadrado de 72.5%, el cual indica que los factores son significantes e inciden en las importaciones de equipos médicos, de los cuales se espera un alza en la tendencia de compras para los próximos 5 años; los resultaron consiguieron determinar que habido una fluctuación en las importaciones de equipos médicos. Según los factores asociados a estos, el CIF, TCR y el PBI fueron estadísticamente significativos con coeficientes de; -5.10, -3.53, y 6.72 respectivamente, esto según el modelo econométrico ajustado. Finalmente se estima que para los siguientes 5 años las partidas estudiadas varíen entre 9.6%, -0.2% y 1% anual respectivamente.
Quantifying heat-related mortality attributable to human-induced climate change
Authors: Stuart-Smith Rupert , Vicedo-Cabrera Ana , Li Sihan , Otto Friederike , Belesova Kristine , Haines Andy , Harrington Luke , Hess Jeremy , Venkatraman Rashmi , Wetzer Thom , Woodward Alistair , Ebi Kristie
Published: January 2024

Background: Recent scientific developments made it possible to quantify the health impacts of climate change. However, limited health attribution studies have been conducted to date.
Objectives: We address limitations in existing methods using as case study an assessment of heat mortality attributable to human-induced climate change in the Canton of Zürich (Switzerland) over 50 years (1969-2018). We also quantify the effects of changes in vulnerability on heat-related mortality.
Methods: We use daily station observations, reanalysis data and an ensemble of climate models to derive timeseries of observed climate data, and counterfactual data that represent a world without human-induced climate change. We estimated the temperature-mortality relationship by conducting a time-series analysis using observed daily-mean temperature and mortality data. We quantified the heat-related mortality using the observed mortality and the mortality risk estimate corresponding to the mean temperature each day with the temperature of minimum mortality as reference, for the observed and counterfactual temperature series. To quantify the effects of changing exposure and vulnerability over time, we compared mortality in scenarios in which the exposure-response relationship derived for 1986-2003 is applied to 2004-2018 and in which the relationship is recalculated based on observed temperature and mortality over the period 2004-2018.
Results: We found nearly 1,700 deaths attributable to human-induced climate change between 1969-2018, and that changing vulnerability, probably due in part to adaptation, avoided at least 700 additional deaths in recent decades.
Discussion: Heat-related deaths occur through the summer months but peak during heatwaves. Our approach builds on existing epidemiological methods to shed light on the adverse effects of climate change on human health, and demonstrates the potential of effective adaptation measures to reduce the mortality burden of heat. The analyses described here could be adapted and applied elsewhere to quantify the effect of climate change on other health outcomes.
The Dynamic Buffering of Social Support on Depressive Symptoms and Cancer Worries in Patients Seeking Cancer Genetic Counseling
Authors: Ho Sally , Palka Jayme M. , Mersch Jacqueline , Martin W. Blake , Howe-Martin Laura
Published: January 2024

Purpose: Social support is a crucial protective factor against psychological concerns in patients with cancer. However, there is limited knowledge regarding the differential impacts of social support on cancer worries and depressive symptoms in patients undergoing genetic counseling for hereditary cancer. The current study utilized a high-volume database from a multi-site cancer genetics clinic to assess the impact of perceived social support on depressive symptoms and cancer worries among patients of different age groups (young versus older patients) and diagnosis status (diagnosed survivors versus undiagnosed).
Methods: 6,666 patients completed brief assessments of depressive symptoms, cancer worries, social support, and demographic questionnaires as part of routine clinical care between October 2016 and October 2020. Logistics and moderated regression were used to analyze the relationships between social support, depressive symptoms, and cancer worries.
Results: Increased social support was associated with fewer depressive symptoms and fewer cancer worries across all patients. Social support mitigated depressive symptoms most significantly for young adult patients with and without cancer. Social support mitigated cancer worries most significantly for young adults with cancer and older adults without cancer.
Conclusions While results were mixed, general findings upheld original hypotheses. Social support buffered depressive symptoms and cancer worries differentially for patients of different ages and different disease status.
Implications for Cancer Survivors: Social support groups are beneficial for all patients and should be emphasized by cancer clinics. However, increasing patient-tailored and age-appropriate support networks will be crucial for managing depression and cancer worries for high-risk survivors: young adults with cancer.
The Soret Effect in Laser Chemical Vapor Deposited Fibers
Authors: Cook Charles A. , Fronk Kenan , Thompson Gregory B
Published: January 2024

Laser Chemical Vapor Deposition (LCVD) is the process by which free standing fibers additively deposit from the gas-to-solid phase under a laser focal point. In this letter, we address how the mixing of disparate molecular weight precursors facilitate changes in the growth and fiber structure using the Soret effect. The Soret effect causes lighter particles to migrate to warmer regions and heavier particles to migrate to cooler regions in a reaction. Using ethylene mixed with helium, the reaction rate, temperature, activation energy, and morphology for a series of carbon fibers are compared. It was found that the onset of the Soret effect bypasses specific growth regimes, reduces the extent of graphitization, and creates morphological variations within the fiber core. These results highlight the potential use of the Soret effect as a new means of tailoring LCVD fiber processing.