bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS PENTINGNYA KESADARAN KESELAMATAN DAN KESEHATAN KERJA (K3) DI PERUSAHAAN TEKSTIL
Authors: Setyajj Rizky Bagus , Wijayanto Danar Susilo , Saputra Taufik Wisnu
Published: August 2024

Low company and employee awareness of occupational safety and health (K3) can have a crucial impact in the form of work-related accidents and occupational diseases. The purpose of this study was to determine the level of OSH awareness by employees at Textile Company, knows the impact of the attitude of employees who ignore the important of K3 awareness, and knows the efforts of the company and employees in preventing work accident. This research is a qualitative research with a case study approach. The data sources for this research were obtained directly from employee work activities, interviews with section heads, shift heads, office staff, 4 employees and documents in the form of employess attendance data, company administration data, machine data, equipment data, materials data, and accident health data. Work, the sampling technique was carried out by means of purposive sampling. Meanwhile, data collection was carried out using interview techniques, observation and document study. The data analysis technique used is source triangulation and methode triangulation. The data analysis technique used is the interactive data analysis model of Miles and Huberman which consist of data reduction stages, presenting data, and making conclusions. Furthermore, the results of the study show that the level of employee awareness of occupational safety and health is seen from several aspects, namely the use machine, tools, materials, and working environment conditions, work methods, work position, and employee lifting loads, interpersonal relationship, roles and responsibilities towards work, as well as hygiene facilities that are clean and healthy. The impact of the low level of company and employee awareness of K3 can cause work-related accidents and occupational diseases which are divide into 3 causal factors, namely technical factors, non-technical factors, and natural factors. Efforts made by companies and employees in preventing work accident are efforts to prevent work accidents using hazard control in workplace, prevention efforts through guidance and supervision, and prevention efforts through management systems.
Penerapan Pembelajaran Berdiferensi di Sekolah Menengah Kejuruan (SMK)
Authors: Raisah Aulia , Al-Farizy Alvin Maulana , Dewi Kusuma , Fikri Maulana , Maulana Mohamad Irkham , Sriwardani Nyenyep , Saputra Taufik Wisnu
Published: August 2024

Vocational high school graduates are the biggest contributor to the Highest Unemployment Rate Indonesia in 2021. One of the factors causing this is the low quality of learning. Efforts to improve the quality of learning in vocational high schools can be done by carrying out learning that favors students, namely by carrying out differentiated learning. However, the implementation process in the vocational high school environment is still hampered by teachers' lack of understanding of the application of differentiated learning. This research aims to describe the implementation of differentiated learning in vocational high schools. The research uses a descriptive qualitative research approach with literature study methods from books and scientific articles in various national and international journals. Differentiated learning is learning that is carried out by paying attention to students' abilities, interests and learning styles. The stages of implementing differentiated learning in vocational high schools are carrying out diagnostic assessments, making differentiated learning plans, implementing differentiated learning, and implementing differentiated learning assessments. The success of learning is if the teacher can carry out his role well. Differentiated learning needs to be carried out in the vocational high school environment in order to improve the quality of graduates who have the attitudes, knowledge and skills needed in DU/DI in the 21st century.
Konut Fiyatları ve Değişkenliğinin Modellenmesi: Türkiye Örneği
Authors: Soylu Abdullah Tayyip , Kaynak Selahattin
Published: August 2024

Bu çalışmanın amacı, Türkiye’de konut fiyatlarının belirleyicilerini ve konut fiyat değişkenliğini değişen varyansı dikkate alan AR(3)-TGARCH(1,1) modeli aracılığıyla analiz etmektir. Modelde 2010 Ocak – 2021 Aralık dönemi için konut fiyatını etkileyen talep kaynaklı değişkenler ekonomik büyüme, enflasyon oranı, kur getirisi ve konut kredi faiz oranı olarak alınırken; konut arzının bir göstergesi olarak yapı kullanım izin sayıları kullanılmıştır. Ampirik bulgular; konut fiyatları ile enflasyon ve ekonomik büyüme arasında pozitif, konut kredi faiz oranı ve sepet kur arasında negatif ve konut arzı (yapı kullanım izin belgeleri) arasında negatif fakat anlamsız ilişkinin olduğunu göstermektedir. Ayrıca konut fiyat endeksindeki değişkenliğin kısa dönem şoklardan ziyade uzun dönemli şoklar tarafından belirlendiği tespit edilmiştir. Konut fiyat endeksindeki değişkenliğin asimetri etkisi negatiftir, fakat istatistiksel olarak anlamlı bulunmamıştır. Diğer bir deyişle konut fiyat değişkenliği üzerinde negatif ve pozitif şokların ayırt edici bir etkisi bulunmamaktadır.
STATE AND CHARACTERISTICS OF DESIGN ACTIVITIES AT MODERN MANUFACTURING ENTERPRISES
Authors: Mekhovych Serhiy , Tyufanov Georgy
Published: August 2024

The article states that an important feature and integral part of design activity is interaction with other divisions of the enterprise, in particular with production, marketing and research and development departments. Such cooperation allows to ensure high quality of products and their compliance with market requirements. Effective interaction with different departments of the enterprise requires a deep understanding of their needs, goals and internal dynamics, as well as the ability to resolve conflict situations and reach compromises. Interaction with production departments is critical for the successful implementation of design solutions. Designers must understand production constraints, equipment capabilities, production costs, and other factors to develop optimal designs that will be easily manufactured and maintained on the production line. Features of interaction with marketing and research and development departments are revealed. senior management of the enterprise, joint implementation of projects and initiatives, other divisions of the enterprise, such as procurement, logistics, customer service, etc., to ensure the successful implementation of their projects and products. The state of implementation of computer-aided design (CAD) systems at machine-building enterprises can vary depending on the country, the specific branch of machine-building, and the company's chosen strategy. However, in general, some general trends can be identified. Mechanisms of information exchange between the design department and other departments have been disclosed. It is noted that such communications are provided with the help of various tools, technologies and approaches, joint work and data exchange. General conclusions are made regarding the features of design activity in modern conditions.
A FORECAST MODEL FOR ASSESSING THE LEVEL OF FINANCIAL AND ECONOMIC POTENTIAL OF AN INDUSTRIAL ENTERPRISE FOR
Authors: Zaika Kateryna
Published: August 2024

The article is devoted to the problem of forecasting the level of industrial enterprises financial and economic potential as a strategically important management tool for the need to adapt to internal and external market changes. The implementation of the forecast model using the adaptive method of forecasting economic time series is proposed: the model of exponential smoothing of the time series. During the implementation, the integral indicator of financial and economic potential level was calculated, the choice of the forecasting method was justified, the quality of the smoothing model and the reliability of the obtained forecast values were evaluated, and the interpretation of the forecasting results was also given. The research was conducted on the basis of a comprehensive assessment using integral indicators of financial and economic potential level, namely its components (budgetary-resource, financial-investment, security-oriented, loan, (corporate, credit-market, investment, innovative-technological and risk-adaptive) according to the criterion of established benchmarks and the application of the adaptive model of economic time series forecasting, exponential smoothing of the Holt series, which made it possible to establish the trends of the indicator change (decrease, increase or significant fluctuations). Based on this, the parameters of the forecasting model were systematized for each research object and the value of the average absolute percentage error with the provision of appropriate recommendations for ensuring stability and increasing their financial and economic potential in the long term. The practical value of the proposed theoretical and methodological approach is the possibility of using calculations of the integral indicator of financial and economic potential level of industrial enterprises as an information base formation of an adaptive management mechanism that will allow business entities to successfully face external challenges and internal threats, will ensure their stability and competitiveness in the market.
METHODOLOGY FOR DETERMINING THE IMPACT OF DIGITAL TECHNOLOGIES ON ECONOMIC POLICY
Authors: Mekhovych Serhii , Kuzminsky Kostyantyn
Published: August 2024

The article examines current issues related to the creation of a single international digital market and their impact on economic policy. It is emphasized that the conditions under which the industrial complex of Ukraine should function in the near future are under the influence of globalization.   Brief information on the essence of these processes is provided. It is noted that digitization is carried out within the framework of economic policy, which in the EU is aimed at creating a single international digital market. The characteristic features of this process are given. It is also noted that according to the policy adopted by the EU, over the next five years it is planned to focus on three key objectives to ensure that digital solutions will help Europe to follow its own path to a digital transformation that works for the good of people through respect for our values, namely, implementing technologies that work for people, building a fair and competitive economy and an open, democratic and sustainable society. A brief description of each direction is provided. It stands to reason that every citizen, every worker, every businessman should have a fair chance, wherever they live, to reap the benefits of our increasingly digitized society. Digital solutions such as communication systems, artificial intelligence or quantum technologies can enrich our lives in many ways, although the benefits of digital technologies do not come without risks and costs. Citizens are no longer unable to control what happens to their personal data and are increasingly overwhelmed by the demands of their attention. It highlights that malicious cyber activity can threaten our personal well-being or disrupt our critical infrastructure and create wider security challenges. The unforeseen and unpredictable consequences of the intervention of artificial intelligence in the existence of humanity have already worried the inhabitants of the planet and the Governments of almost all countries. This significant societal transformation requires deep reflection at all levels of society on how Europe can best face these risks and challenges. The effectiveness of innovation policy, in particular, of the EU countries, based on the assessment of their level of readiness for the introduction of advanced digital technology - 5G Internet, is indicated. It is noted that the level of digitalization of business is the most significant factor of digitalization of the labor market, as it causes its quantitative and qualitative modifications.
BUSINESS RELOCATION: STRATEGY OF FURNITURE ENTERPRISES
Authors: Mysyk Volodymyr
Published: August 2024

The article considers an important aspect of strategic management in the field of furniture production. The authors focus on the problem of transferring production and business, taking into account the modern challenges and opportunities that arise in the context of globalization and changes in the world economy. Through an analysis of the causes and consequences of relocation, the article provides readers with insights into the strategic decisions needed to successfully transition furniture businesses to new locations. Factors such as cost reduction, access to new markets, and technological capabilities that drive companies to make such strategic decisions are considered. The segment of the furniture market is analyzed and statistical data on relocated and operating enterprises are provided. This article is aimed at specialists in the field of management, researchers and practitioners who are interested in the aspects of strategic development of the furniture business in the conditions of the modern economic environment.
Urgensi Pengaturan Budaya Reyog Ponorogo Perspektif Hukum Kritis Dan Fiqh Siyasah
Authors: Wiranti Indah Wiranti
Published: August 2024

This research discusses the urgency of regulating the cultural heritage of Reyog Ponorogo with a focus on the perspectives of critical legal studies and Fiqh Siyasah. The Reyog Ponorogo culture is considered important as part of the national identity but faces serious challenges, especially after the claim attempts by Malaysia in 2007. These philosophical factors have hindered Reyog Ponorogo from receiving recognition from UNESCO. The research questions in this study are: How does the epistemology of critical legal studies relate to the urgency of regulation for the advancement of Reyog culture in Ponorogo? What is the view of Fiqh Siyasah regarding the urgency of regulating Reyog Ponorogo as an effort to promote culture? This thesis is a normative juridical study with a statutory approach and a conceptual approach. The data collection technique involves gathering coherent library materials related to the researched object. From the research conducted during the thesis, it can be concluded that from the epistemology of critical legal studies, regulating the culture of Reyog Ponorogo is a critical step to prevent misuse or unauthorized recognition of the culture. Critical law views the importance of clear regulatory systems to prevent similar cases and as a form of fair copyright enforcement for the people of Ponorogo. From the perspective of Fiqh Siyasah Dusturiyah, regulating the culture of Reyog Ponorogo is an implementation of legal values ​​emphasizing the need for the government to play an active role in preserving and developing cultural heritage. This aligns with the principles of Fiqh Siyasah Dusturiyah, which demand that the government ensure the sustainability of traditions and cultures that are integral parts of its people's identity. The advancement of Reyog Ponorogo culture can also be seen as a strategy to achieve collective welfare goals, involving future generations in cultural heritage.
Alzheimer Classification using Deep Learning and Augmentation
Authors: Dumre Prabin , Thakur Arastu , Sinha Deepak Kumar
Published: August 2024

Alzheimer's disease (AD) is a debilitating neurological condition marked by memory loss and an ongoing decrease in cognitive function. Timely management and enhanced patient outcomes are contingent upon an early and precise diagnosis. Deep learning has become an effective technique for AD classification. With the use of picture augmentation techniques and convolutional neural networks (CNNs), it suggests a unique deep learning framework for AD diagnosis. The methodology provides intuitive visualizations of individual vulnerability by creating high resolution (HR) diseases probability diagrams from local brain regions in magnetic resonance imaging (MRI) data. Previous research based on CNNs, and pre-trained models show the promise of deep learning for AD classification, obtaining over 90% accuracy as well as F1 score for all AD phases. Using Convolutional Neural Networks (CNNs) and picture augmentation techniques on an augmented dataset, this research presents a unique deep learning framework for diagnosing AD and distinguishing four stages of the disease: moderate, non-demented, mild, and very mild. This framework is effective in accurately diagnosing AD phases, as proven by its remarkable 94.6% accuracy. In addition, the framework produces high-resolution disease probability maps, which is a major improvement over current techniques and offers clear visualizations of individual risk.
Improvement the classification of a nanocomposite using nanoparticules based on a meta-analysis study, Recurrent Neural Network and Recurrent Neural Network Monte-Carlo algorithms
Authors: LOUKIL Rania , GAZEHI Wejden , Besbes Mongi
Published: August 2024

This paper may be the first meta-analysis that presents a comprehensive synthesis of scientific works spanning the last five years, focusing on methodologies and results related to the analysis of nanocomposite using nanoparticules. The primary objective is to identify the optimal algorithm using software information and leading to better classification methodology. Specifically, this study come up with the advantages and the drawbacks of the most used algorithms and proposes an enhancement and performance of Recurrent Neural Networks based Long Short Term Memory (LSTM) neurons. Besides, a comparaison of Deep Learning methods for the classification of polymeric nanoparticles, with polypropylene serving as a case study will be implemented. Experiment comparison were conducted to assess with one physical property, later expanded to four properties and finally to eight properties. Neural networks, including Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Recurrent Neural Networks-Monte Carlo, were employed for simulations. The evaluation criteria encompassed accuracy, calculation time, mean square error (MSE) and other metrics. The findings contribute to the selection of an optimal algorithm for the analysis of polymeric nanoparticles, emphasizing the potential of Deep Learning methodologies, particularly Recurrent Neural Networks Monte Carlo, in advancing classification accuracy and efficiency.
scCobra: Contrastive cell embedding learning with domain-adaptation for single-cell data integration and harmonization
Authors: Ding Jun , Zhao Bowen , Wei Dong-qing , Xiong Yi
Published: August 2024

The rapid development of single-cell technologies has underscored the need for more effective methods in the integration and harmonization of single-cell sequencing data. The prevalent challenge of batch effects, resulting from technical and biological variations across studies, demands accurate and reliable solutions for data integration. Traditional tools often have limitations, both due to reliance on gene expression distribution assumptions and the common issue of over-correction, particularly in methods based on anchor alignments. Here we introduce scCobra, a deep neural network tool designed specifically to address these challenges. By leveraging a deep generative model that combines a contrastive neural network with domain adaptation, scCobra effectively mitigates batch effects and minimizes over-correction without depending on gene expression distribution assumptions. Additionally, scCobra enables online label transfer across datasets with batch effects, facilitating the continuous integration of new data without retraining, and offers features for batch effect simulation and advanced multi-omic batch integration. These capabilities make scCobra a versatile data integration and harmonization tool for achieving accurate and insightful biological interpretations from complex datasets.
Optimizing Photon Capture: Advancements in AMCP Technology for Enhanced Timing and Photon Detection Efficiency
Authors: Frey Samira , Antognini Luca , Benserhir Jad , Ripiccini Emanuele , De Koning Coenraad , Riedo Andreas , Belhaj Mohamed , Charbon Edoardo , Ballif Christophe , Wyrsch Nicolas
Published: August 2024

Hydrogenated amorphous silicon based microchannel plates (AMCPs) provide unique advantages over conventional glass-based microchannel plates, offering enhanced flexibility in manufacturing and vertical integration with an electronic readout. A high single-channel gain of 1500 could be measured in the latest generation, making them an attractive choice for a wide range of applications, including medical imaging, mass spectrometry, and particle physics experiments. A time resolution of 4.6±0.1ps (FWHM) was measured when an AMCP was connected to an amplifier and exposed to a high photoelectron flux. By decreasing the flux of photoelectrons to roughly a few hundred to thousands, this value increased to 12.6±0.2ps (FWHM). By shortening the distance between the detector and a low noise amplifier, noise on the signal could be significantly reduced, and time resolutions below 10ps were measured even for low fluxes and signal amplitudes. While single-particle detection remains a challenge, our results highlight the exceptional potential of AMCPs in achieving outstanding timing resolution. Additionally, AMCPs with a funnel-shaped channel opening are presented as well, allowing for an active area of the detector of 95% and an electron detection efficiency above 92%, respectively. This novel design has been successfully fabricated and subjected to preliminary testing, showing promising results.
Understanding the impact of city-wide cycling corridors on cycling mode share among different demographic clusters in Greater Melbourne, Australia
Authors: Jafari Afshin , Pemberton Steve , Singh Dhirendra , Saghapour Tayebeh , Both Alan , Gunn Lucy , Giles-Corti Billie
Published: August 2024

In car-dominated cities like Melbourne, Australia, limited data on cyclists' travel patterns and socio-demographic differences complicate understanding the effectiveness of infrastructure investment interventions aimed at promoting cycling. Recent advancements in city-scale transport modelling enable virtual testing of such interventions. However, the application of agent- and activity-based models for large-scale cycling simulations has been constrained by data and complexity. In this study, we developed a city-scale agent-based simulation model for Greater Melbourne to evaluate changes in travel mode share from cycling infrastructure modifications. We clustered bicycle riders into five demographic groups: Maverick Males, Motivated Adults, Conscientious Commuters, Young Sprinters, and Relaxed Cruisers, estimating mode choice parameters for each group. Using aggregated smartphone application data, we developed a cycling trip routing methodology to incorporate road infrastructure impacts. Results indicated that travel time significantly influences mode choice across all clusters. Cycling infrastructure was crucial for four clusters, and travel cost influenced four clusters. The calibrated model assessed the potential impact of fully implementing Greater Melbourne's strategic cycling corridors, a network of key cycling routes. Simulations suggested an initial 30% increase in cycling use, raising the mode share to approximately 2.6%, indicating a modest overall impact. Further analysis showed that even with full implementation, on average about half of the lengths of the routed bikeable trips would still occur on roads without any cycling infrastructure. This underscores the need to improve infrastructure on both major corridors and minor roads, and to complement these improvements with behavioural interventions.
Impacts of urbanization on the quality of surface water in a watershed in the Brazilian Cerrado
Authors: Fuentes Terly Gabriela Quiñonez , Oliveira Georje Lincon De Castro , Souza Emanuele de Jesus , Nascimento Natália da Glória França , Marques Saulo José da Silva , Guedes Sayonara de Souza , de Melo Danilo Corado , Prudencio Claudia Vieira , Portella Roberto Bagattini , Chiarelotto Maico
Published: August 2024

The aim of this study was to assess the spatio-temporal variation in water quality in the Grande River and the Ondas River, in the city of Barreiras, Bahia, Brazil. Water samples were collected at 11 points along the rivers, and eight physical-chemical parameters (electrical conductivity, pH, alkalinity, apparent and true color, turbidity, dissolved oxygen and biochemical oxygen demand) and three microbiological indicators (heterotrophic bacteria, total and thermotolerant coliforms) were analyzed. Spatio-temporal variation was assessed using the multivariate techniques of Principal Component Analysis/Factorial Analysis (PCA/FA) and Hierarchical Cluster Analysis (HCA). The results of the PCA/FA highlighted eight of the eleven parameters as the main ones responsible for the variations in water quality, with the greatest increase in these parameters being observed in the rainy season, especially among the points influenced by sewage discharges and by the influence of the urban area. The CA grouped the results from 11 points into three main groups: group 1 corresponded to points influenced by sewage discharges; group 2 grouped points with mainly urban influences; and group 3 grouped points in rural areas. These groupings showed the negative influence of urbanization and also statistically significant variations between the groups and periods. The most degraded conditions were in group 1, and the least degraded conditions in group 3. Assessment of the variations between the monitoring periods showed that rainfall had a significant impact on the increase or decrease in the parameters assessed, as a result of surface runoff linked to urbanization and increased river flow.
The impact of opioid safety reports on racial and ethnic differences in post- operative opioid prescribing practices at hospital discharge: exploratory analysis of a clustered randomized controlled trial
Authors: Romanelli Robert J. , Wagner Zachary , Mariano Louis T. , Shenoy Rivfka , Kirkegaard Allison , Watkins Katherine E.
Published: August 2024

Background:
The objective of this study was to examine differences in postoperative opioid prescribing by race and ethnicity before and after the implementation of opioid safety reports, via a randomized control trial (RCT), to reduce guideline-discordant opioid prescribing.
Methods:
This exploratory analysis of an RCT used three years of data (October 2019-October 2022), two before the intervention and one during the intervention, across 19 hospitals and three surgical specialties: general surgery, obstetrics/gynecology, and orthopedic surgery. The analysis included patients ≥ 18 years of age, with known race/ethnicity (Hispanic [any race], or non-Hispanic, Asian, Black, Other or white [NHA, NHB, NHO, or NHW]), who underwent procedures by surgeons who were randomized to receive monthly opioid safety reports (treatment arm) or not (control arm). Safety reports were based on social norms, comparing surgeons’ prescribing to guideline recommendations s or their peers. The primary outcome was total morphine milligram equivalence (MME) prescribed per patient at hospital discharge. Linear regression models were used to examine differences in prescribed total MME by race/ethnicity between control and treatment arms, before and after intervention implementation, with statistical adjustment for numerous patient, procedure, and clinician characteristics.
Results:
Among 55,637 patients meeting study eligibility criteria, overall trends showed decreases in opioid prescribing over time, which were more pronounced among racial/ethnic minority patients compared to NHW patients. Independent of randomized assignment, NHA and Hispanic patients received on average lower opioid quantities than NHW patients within each year, whereas NHB patients received higher opioid quantities in the first and second year and lower opioid quantities in the third year. The intervention, itself, did not impact prescribing differences by race/ethnicity across surgical specialty combined. Stratified by speciality, the intervention appeared to reduce differences in opioid prescribing for NHB vs. NHW patients undergoing obstetrics/gynecological procedures by an average of -20.8 total MME (95% Confidence Interval: -40.1, -1.5).
Conclusions:
Opioid safety reports, based on social norms, showed little impact on reducing gaps in opioid prescribing by race/ethnicity. Future research is needed to identify strategies to mitigate racial/ethnic postoperative opioid prescribing differences at hospital discharge.
Integrated number sense tutoring remediates aberrant neural representations in children with mathematical disabilities
Authors: Park Yunji , Zhang Yuan , Schwartz Flora , Iuculano Teresa , Chang Hyesang , Menon Vinod
Published: August 2024

Number sense is essential for early mathematical development but it is compromised in children with mathematical disabilities (MD). Here we investigate the impact of a personalized 4-week Integrated Number Sense (INS) tutoring program aimed at improving the connection between nonsymbolic (sets of objects) and symbolic (Arabic numerals) representations in children with MD. Utilizing neural pattern analysis, we found that INS tutoring not only improved cross-format mapping but also significantly boosted arithmetic fluency in children with MD. Critically, the tutoring normalized previously low levels of cross-format neural representations in these children to pre-tutoring levels observed in typically developing, especially in key brain regions associated with numerical cognition. Moreover, we identified distinct, 'inverted U-shaped' neurodevelopmental changes in the MD group, suggesting unique neural plasticity during mathematical skill development. Our findings highlight the effectiveness of targeted INS tutoring for remediating numerical deficits in MD, and offer a foundation for developing evidence-based educational interventions.
Proinflammatory cytokines sensitise mesenchymal stromal cells to apoptosis
Authors: Heng Tracy , Payne Natalie , Pang Swee Heng Milon , Freeman Andrew , Ozkocak Dilara , Wallis Georgia , Zheng Di , Mendonca Senora , O'Reilly Lorraine , Gray Daniel , Poon Ivan
Published: August 2024

Mesenchymal stromal cells (MSCs) exert broad therapeutic effects across a range of inflammatory diseases. Their therapeutic properties, largely mediated by secreted factors, can be enhanced by pre-exposure to inflammatory cytokines, a concept known as “licensing”. Yet, following intravenous infusion, MSCs fail to engraft long-term because they become trapped in the lungs. Recent evidence from in vivo models has shown that apoptosis of MSCs and subsequent clearance by host phagocytes is essential for their therapeutic efficacy. Here, we investigated the apoptotic mechanisms governing MSC death and how exposure to inflammatory cytokines, which “license” MSCs, impacts their sensitivity to cell death. Our results show that efficient killing of MSCs required triggering of the mitochondrial pathway of apoptosis, via inhibition of the pro-survival proteins MCL-1 and BCL-XL. Apoptotic bodies were readily released by MSCs during cell disassembly, a process that was inhibited in vitro and in vivo when the apoptotic effectors BAK and BAX were genetically deleted. Exposure to the inflammatory cytokines TNF and IFN-γ increased the sensitivity of MSCs to apoptosis in vitro and accelerated their in vivo clearance by host cells within the lungs after intravenous infusion. Taken together, our study demonstrates how “licensing” of MSCs facilitates their apoptosis and clearance, informing strategies for improving the therapeutic efficacy of MSCs in future human clinical trials.
Sirtuin 3 is required for pro-inflammatory and pro-regenerative aspects of senescent cells
Authors: Wiley Christopher , Mogck Bronwyn , Jezak Samantha , Velarde Michael
Published: August 2024

Cellular senescence is a multifaceted stress response marked by stable proliferative arrest and the secretion of diverse biologically active factors, collectively known as the senescence-associated secretory phenotype (SASP). The senescent phenotype is remarkably variable and subject to various regulatory influences. We previously demonstrated that mitochondrial dysfunction induced by diverse stimuli, including the loss of sirtuin 3 (SIRT3), leads to the hyperactivation of AMPK and p53, culminating in senescence while concurrently suppressing much of the proinflammatory SASP. Here, we extend our findings by revealing that the absence of SIRT3 can suppress segments of the SASP, even in the absence of p53. Intriguingly, SIRT3 deficiency renders cells resistant to stimulation by exogenous cytokines, such as interleukin-1. Fibroblasts derived from Sirt3 knockout mice exhibit a diminished SASP, including reduced levels of Pdgfa, and these mice display impaired wound healing and a more expansive granulation area. Furthermore, Sirt3 knockout mice accumulate more senescent cells than their age-matched counterparts and increases in many segments of the SASP, yet specifically exhibit lower levels of key proinflammatory SASP factors. Collectively, these data underscore a key role for SIRT3 in orchestrating cellular senescence phenotypes, shedding light on its regulatory influence beyond the p53-dependent pathway.
On-site Physiotherapy in Older Emergency Department Patients Following a Fall: A Randomized Controlled Trial
Authors: Benhamou Jonathan , Espejo Tanguy , Riedel Henk B. , Dreher-Hummel Thomas , García-Martínez Ana , Gubler-Gut Barbara , Kirchberger Joris , Overberg Jan-Arie , Perrot Guido , Bingisser Roland , Nickel Christian Hans
Published: August 2024

Purpose: Falls are a frequent cause of emergency department (ED) visits for individuals aged 65 years and older. Greater fear of falling (FOF) is associated with an increased risk of falling in older patients. This study aims to assess the impact of physiotherapy on FOF in older patients and investigates the feasibility of such an intervention in the ED setting.
Methods: All patients aged 65 or older, who presented to the ED of the University Hospital Basel after a fall between January 2022 and June 2023 were screened for inclusion. Participants were assigned to an intervention or control group depending on the randomized presence or absence of a physiotherapist at inclusion.
Results: One hundred four older adults with a recent fall were included (intervention: n = 44, control: n = 60); median age was 81 years and 59.1% were female. There was no between-group difference in FOF as measured by short International Falls Efficacy Scale within a week of inclusion (p = 0.663, effect size = 0.012 [95% confidence interval (CI) - 0.377 to 0.593]). Despite the intervention being deemed feasible from the physiotherapist’s perspective, the study encountered challenges, such as low recruitment and a notable dropout rate.
Conclusion: A physiotherapy intervention in the ED showed no improvement in fear of falling when compared to a control group. Despite concerns about low recruitment and high dropout rates, both groups received a high standard of care, resulting in a reduction in FOF in both groups over the course of the study.
Trial registration number and date: NCT05156944, 01.12.2021
Modelling trace metal in river and sediment compartments to assess water quality
Authors: GRARD ALINE , DELIÈGE JEAN-FRANÇOIS
Published: August 2024

This paper focuses on trace metal (TM) dynamics along 2 stretches of European Rivers: the French part of the Mosel River (upstream part of the watershed) and the Belgian part of the Meuse River (middle part of the Meuse watershed). A deterministic description of hydro-sedimentary processes and simulation of trace metal concentrations have been achieved.
Trace metal particulate concentrations are strongly dependent on the particle sizes. Fine particles have a high adsorption capacity. A multi-class grain size representation has then been used. The dissolved and particulate trace metal phases have been calculated with specific partitioning coefficients associated to each suspended particulate matter sediment (SS) class.
A model describing pollution transport and dilution at the watershed scalehas been enhanced with the implementation of the MicMod sub-model aiming to characterize the dynamics of trace metals in water column and bed sediment. Trace metals have been simulated by applying mass-balance relationships in aquatic ecosystem. Processes involve in trace metal fate have been calibrated in the MicMod sub-model: settling velocity, trace metal releases from the watershed (point and diffuse loads), etc. This sub-model also considers calibrated sorption processes and additionally describes trace metal behaviour and the interactions between water column and suspended particulate matter. The explicit description of SS leads to a better representation of the TM behaviour in river ecosystem. It was demonstrated that a description of at least one class of fine particles is necessary to get an adequate representation of TM concentrations. This paper establishes consistent pressure-impact relationships between the TM loads (urban, industrial, soils, etc.) discharging from the watersheds into the river. Considering the potential capacity of that type of models to be used for water quality management plans (in the scope of WFD), priority plans, etc. a special attention addresses validation phases, using measured data, to reinforce the modelling operationality.
Computational Screening of Phytochemicals present in some Nigeria Medicinal Plants against Sickle Cell Disease
Authors: Asibor Yemisi Elizabeth , LATONA Dayo Felix , OYEBAMIJI Abel Kolawole , SEMIRE Banjo
Published: August 2024

Four hundred Phytochemical (bio-active) compounds having predictive activity for treating Sickle Cell Anemia were screened, using PASS online computational resource. Twenty-six compounds out of the four hundred compounds which showed high probability for treating sickle were further screened for pharmacokinetics profiles (ADMET properties) using SwissAdmet, AdmetSAR 2 and Pro-tox II online resources. Only thirteen compounds that displayed good ADMET properties from the twenty -six were further used for DFT calculations and molecular docking against carbonmonoxy sickle hemoglobin (PDB ID: 5E6E). Molecular docking analysis reinforced by DFT calculations showed that two compounds, phenanthrene-5,6-dione (A9) and 2-(3,4-dihydroxyphenyl)-5,7-dihydroxychromen-4-one (A13, Luteolin) have the best binding affinity of -8.3 and − 8.9 kcal/mol, respectively, compared to voxelotor (GBT-440), a drug use in treating sickle cell disease. Molecular dynamic simulations showed that 2-(3,4-dihydroxyphenyl)-5,7-dihydroxychromen-4-one (A13, Luteolin) is highly stable with the protein than voxelotor.
Evaluation of the effect of platelet rich fibrin and low level laser therapy (LLLT) on treatment of alveolar osteitis (blinded comparative clinical study)
Authors: Mizal Kamal Sahib , Cheikh Asma Ben , Abusanna Muntathar Muhsen , Moussaoui Eya
Published: August 2024

Background: A dry socket is a common complication that can occur during the healing process following a tooth extraction. Despite its frequent occurrence in otherwise healthy individuals, the exact cause of this condition remains unclear. As a result, the management of dry sockets has traditionally relied on practical experience rather than on scientific theory. The objective of this study was to compare the effectiveness of platelets-rich fibrin (PRF) and low-level laser therapy (LLLT) for the treatment of dry sockets with conventional treatments.
Material and Methods: A randomized controlled clinical trial was conducted among patients with a dry socket, who were categorized into three treatment groups. In the first group, the conventional treatment was used by performing gentle socket curettage and saline irrigation. The second group was treated with platelet-rich fibrin (PRF), whereas the third group underwent low-level laser therapy (LLLT). Initially, the dry socket patients were examined at day 0 and achieved one of three treatment options, then scheduled follow-up appointments on days 4 and 7 after therapy. The pain score, inflammation and tenderness around the socket, and quantity of granulation tissue formation were assessed, respectively.
Results
A total of eighty-seven patients with dry socket were divided into three treatment groups. The conventional therapy group took more than seven days to reach the same healing phase as group II, which received PRF treatment, and group III, which received LLLT irradiation. In the comparison of healing rates between PRF and LLLT, it was noticed that the socket treated by LLLT showed an increase in both granulation tissue production and pain management on day 4 compared to the PRF-treated group II patients.
CONCOLUSION
The sockets treated with platelet-rich fibrin (PRF) and low-level laser therapy showed a statistically significant improvement in the healing process and granulation tissue formation compared with conventional treatment.
Advanced Machine Learning Techniques for Enhanced Landslide Susceptibility Mapping: Integrating Geotechnical Parameters in the Case of Southwestern Cyprus
Authors: tzampoglou Ploutarchos , Loukidis Dimitrios , Anastasiades Aristodemos , Tsangaratos Paraskevas
Published: August 2024

The main objective of this research is to construct landslide susceptibility maps that are based not only on a set of geomorphological, geological, and hydrological factors but also on geotechnical parameters that are directly related to the shear strength of the ground, such as the Plasticity Index, Clay Fraction and Geological Strength Index. These parameters are overlooked in landslide susceptibility studies but are crucial for a comprehensive understanding of slope instabilities. Three methods were utilized to develop the appropriate classifiers: Logistic Regression, Random Forest and XGBoost. A database of 2500 landslide points and 2500 no-landslide points was selected for the study area, which is the southwestern part of Cyprus. These were divided into the training (70% of the total data) and a validation (30% of the total data) datasets. After processing the feature importance of 17 causal factors, lithology emerged as the most influential factor, followed by slope angle and land use. The evaluated geotechnical factors are highly important, as two of them rank sixth and seventh in the importance hierarchy. The training and testing capabilities of the three models were validated and compared with the results of the ROC curve analysis and estimation of several statistical metrics. Generally, all the models achieved high values of accuracy, sensitivity, and Cohen’s Kappa Index. Regarding the predictive capability, it was found that all the methods achieved very high accuracies, as they succeeded in identifying the 87.0% (LR), 96.3% (XGB), and 98.7% (RF) of the recorded landslides as areas of high to very high landslide susceptibility.
Forecast Assessment of Water Regime Efficiency and Changes in Water Consumption on Drained Lands of Western Polissya of Ukraine in a Changing Climate
Authors: Rokochinskiy Anatoliy , Volk Pavlo , Kuzmych Lyudmyla , Koptyuk Roman , Volk Liubov , Prykhodko Nataliia , Kuzmych Anna
Published: August 2024

The forecast data on the impact of changing weather and climatic conditions on evaporation, water demand, and crop yield on drained lands in Western Polissia of Ukraine at different stages of their development are presented. They serve as the basis for creating the project water management regimes and forming the operational water management regimes, which are implemented by selecting and justifying the necessary water management methods, types, structures, and operation modes of drainage systems, and to calculate their parameters. Computer simulation modeling of various climatic scenarios was planned to accomplish the objective. The forecast was made through a machining experiment based on the implementation of a corresponding complex of forecast-simulation models regarding the main regime-technological variable parameters of drainage systems, local climatic conditions, water regime, water management technologies, and productivity of drained lands for schematized natural, agrotechnical, and meliorative conditions. Vegetation values of total evaporation and water demand formation of drained lands were determined for the long-term forecast module of water supply regarding variable climatic and agro-meliorative conditions. The technological efficiency of different irrigation technologies (subsoil irrigation, sprinkler irrigation) of drained lands was evaluated. The research showed that in the Western Polissia of Ukraine, the water supply module for irrigating drained lands varies significantly depending on the type of crops, drained soil (mineral, peat), irrigation technologies, and heat and moisture supply conditions during the vegetation period. Compared to the existing normative values of 0.5…0.75 l/s·ha, its range of variation is 0.5…3.9 l/s·ha. In this case, the water demand for cultivated crops increases almost two to three times, necessitating the transition from periodic to regular irrigation of drained lands.
Removal of Congo Red Dye by Using Chemically Activated Lemon Peel Adsorbent
Authors: Mondol Monisha , Rahman Molla Mohammad Shafiqur , Angon Prodipto Bishnu
Published: August 2024

The synthetic colorant Congo red (CR) dye is an organic pollutant due to its resistance to decolorization. It is used in rubber, textiles, printing, and dyeing industries. Different dye-contaminated water can have adverse effects, including carcinogenicity and toxicity to biotic components. The discovery of CR dye, its noteworthy effects on aquatic life, and the ability of chemically activated lemon peel (LP) to function as an adsorbent were all made possible by this effort. The optimal conditions of dye concentration, adsorbent quantities, temperature, and contact period were assessed. The separation and removal of pollutants from wastewater were assessed by centrifuging the samples for the adsorption procedure, which is often used by spectrophotometers to evaluate LP’s capacity to remove CR. LP was chemically activated by using different KOH and H3PO4 material-chemical ratios due to its frequent availability in nature, high surface area, and active functional groups. For CR adsorption, the best contact periods were 80 and 100 minutes, respectively, with removal percentages of 86.86% and 89.03% for 1:3 or LP-H3 (1:1, 1:2, 1:3, 1:4, and 1:5 ratios of LP and H3PO4 as LP-H1, LP-H2, LP-H3, LP-H4, and LP-H5) ratios. The greatest CR adsorption took place at a dye concentration of 100 ppm. Through this work, LP served as an affordable and eco-friendly adsorbent. Further, more research can be done on using low-cost, high-performing, eco-friendly adsorbents to remove hazardous dyes.