bluuebunny/crossref_metadata_2025 huggingface dataset:
Primary Cutaneous CD30 positive Lymphoproliferative Disorders—Current Therapeutic Approach with Focus on Brentuximab Vedotin
Authors: Stein Tomas , Robak Tadeusz , Biernat Wojciech , Robak Ewa
Published: November 2023

One of the most common subgroups of cutaneous T-cell lymphomas is the that of
primary cutaneous CD30 positive lymphoproliferative disorders. The group includes lymphomatoid papulosis (LyP) and primary cutaneous anaplastic large cell lymphoma (pcALCL), as well as some borderline cases. Recently, significant progress has been made in understanding the genetics and treatment of these disorders. This review article summarizes the clinical evidence supporting the current treatment options in these diseases. Recent years have seen the introduction of novel agents into clinical practice; most of these target CD30, such as anti-CD30 monoclonal antibodies and conjugated antibodies (brentuximab vedotin), bispecific antibodies and cellular therapies, particularly anti-CD30 CAR-T cells. This paper briefly reviews the biology of CD30 that makes it a good therapeutic target, and describes the anti-CD30 therapies that have emerged to date.
Intranasal Oxytocin and Pain Reduction:
Testing a Social Cognitive Mediation Model
Authors: Long Preston , Scholl Jamie L , Wang X.T. , Kallsen Noah , Ehli Erik A , Freeman Harry
Published: November 2023

Oxytocin is well known for its role in relationships and social cognition and has more recently been implicated in pain relief and pain perception. Connections between prosocial feelings and pain relief are also well documented, however, effects of exogenous oxytocin on social cognition and pain have not been explored. The current study tested whether intranasally-delivered oxytocin affects pain perception through prosocial behaviors. Additionally, moderation of the effects of oxytocin by life history or genetic polymorphisms are examined. Young adults (n=43; 65% female) were administered intranasal oxytocin (24 IU) or placebo in a crossover design on two visits separated by a one-week washout period. Pain was delivered via cold-pressor. Baseline measures for decision-making and social cognition were collected, as well as pain sensitivity and medication history. Saliva samples were collected for analysis of genetic markers, and urine samples were collected to assess oxytocin saturation. Following oxytocin administration, participants reported increased prosocial cognition and decision-making. Pain perception appeared to be adaptive, with procedural order and expectation affecting perception. Finally, behavioral trust and cooperation responses were significantly predicted by genetic markers. Oxytocin may increase a patient’s trust and cooperation and reduce pain sensitivity while having fewer physiological side effects than current pharmaceutical options.
Comparative Analysis of Frailty Identification Criteria on Continuous Non-invasive Neurocardiovascular Signals during an Active Stand Test in the Irish Longitudinal Study on Ageing (TILDA)
Authors: Xue Feng , Knight Silvin P. , Connolly Emma , O’Halloran Aisling M. , Shirsath Morgana Afonso , Newman Louise , Duggan Eoin , Kenny Rose Anne , Romero-Ortuno Roman
Published: November 2023

In this observational study, we compared continuous physiological signals during an active stand test in adults aged 50 years and over, characterized as frail by three different criteria, using data from The Irish Longitudinal Study on Ageing (TILDA). Four independent groups were identified: those characterized as frail only by one of the frailty tools used (the physical Frailty Phenotype (FP), the 32-item Frailty Index (FI), or the Clinical Frailty Scale (CFS) classification tree), and a fourth group where participants were not characterized as frail by any of these tools. Continuous non-invasive physiological signals were collected during an active stand test: systolic (sBP) and diastolic (dBP) blood pressure, as well as heart rate (HR), using digital artery photoplethysmography. Additionally, frontal lobe cerebral oxygenation (Oxy), deoxygenation (Deoxy), and tissue saturation index (TSI) were also non-invasively measured using near-infrared spectroscopy (NIRS). The signals were visualized across frailty groups and statistically compared using one-dimensional statistical parametric mapping (SPM). A total of 1,124 participants (mean age 63.5 years, 50.2% women) were included: 23 were characterized as frail only by FP, 97 by FI, 38 by CFS, and 966 by none of these criteria. SPM analyses revealed that only the group characterized as frail by FI had significantly different signals (p<0.05) compared to the non-frail group. Specifically, they exhibited a lesser increase in HR between 5-15 seconds post-stand and larger deficits in sBP and dBP between 15-40 seconds post-stand, and possibly a lower Delta TSI at 20 seconds post-stand. In this comparison, the FI proved more adept at capturing distinct physiological responses to standing, likely due to its direct inclusion of cardiovascular morbidities in its definition.
Effect of Mineral Fertilisation on Tuber Yield and Quality in Yams (Dioscorea alata and Dioscorea rotundata)
Authors: Afolabi Folasade , Matsumoto Ryo , Akinwande Bolanle , Otegbayo Bolanle , Asfaw Asrat
Published: November 2023

This study assessed the impact of mineral fertilization on tuber yield and food quality of yam genotypes, specifically Dioscorea alata and Dioscorea rotundata. Four genotypes, each from D. alata and D. rotundata, were used in ﬁeld experiments conducted in Ibadan, Nigeria, in the 2017 and 2018 cropping seasons. Experiments were conducted under low soil NPK fertility conditions with and without fertiliser treatments. A recommended NPK rate for the area (90, 50, and 75 Kg N, P, K ha-1) was applied to plots with fertiliser treatment. Tuber yield, functional and pasting properties of yam flour, and sensory attributes of pounded yams were collected. The results showed differential responses of the genotypes to tuber yield and food quality with fertiliser application. Fertiliser application has generally increased fresh tuber yield, but it has affected some genotypes' flour quality and textural attributes of the pounded yams. As regards genotypes Danacha and TDa0200012, fertiliser application has increased tuber yield without causing a decrease in tuber quality hence, suggesting Danacha and TDa0200012 as suitable genotypes for maximizing fertiliser productivity. However, in another genotype Ojuiyawo, fertiliser application effectively increased tuber yield but deteriorated tuber quality. Our results suggested that it is crucial to determine the impact of fertilisation on tuber yield and quality for each genotype and select the appropriate genotype to improve productivity through mineral fertilisation. The results of this study can be widely applied to enhance yam productivity in sub-Saharan Africa and useful for sustainable agriculture in yam-growing areas.
Acetylcorynoline Induces Apoptosis and G2/M Phase Arrest through the c-Myc Signaling Pathway in Colon Cancer Cells
Authors: Park Ye-Rin , Jee Wona , Park So-Mi , Kim Seok Woo , Jung Ji Hoon , Kim Hyungsuk , Kim Kwan-Il , Jang And Hyeung-Jin
Published: November 2023

Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide, and despite advances in treatment, survival rates are still low; therefore, the development of novel drugs is imperative. Acetylcorynoline (ACN) is derived from Corydalis ambigua. The effect of ACN on colon cancer is still unknown. Therefore, we investigated its potential effects. Our data showed that ACN inhibited cell viability and proliferation. Moreover, ACN induced apoptosis and cell cycle arrest by inhibiting cell growth. In the present study, we hypothesized that ACN regulates c-Myc through CNOT2 or MID1IP1. ACN reduced the protein expression of oncogenic genes, decreased c-Myc half-life, and rapidly inhibited the serum stimulation response. Moreover, knockdown of CNOT2 and MID1IP1 with ACN increased apoptosis and further reduced the expression of oncogenes. In addition, ACN exhibited a synergistic effect with low-dose of 5-fluorouracil (5-FU) and doxorubicin (Dox). Collectively, our data demonstrates that ACN inhibited c-Myc expression through CNOT2 and MID1IP1 and induced apoptosis. These findings indicate the potential of ACN as a therapeutic agent against colon cancer.
Predictors of Vaccination Intentions and Behaviour during the COVID-19 pandemic in Italy
Authors: Nerini Amanda , Duradoni Mirko , Matera Camilla , Guazzini Andrea , Paradisi Monica , Sghembri Adriele
Published: November 2023

The present research aimed at understanding individuals’ vaccination intentions and behaviours against COVID-19 through two different studies. In Study 1 (N = 213, 73% women; mean age = 24.03) the PMT model was tested considering the fear of COVID-19 as a possible mediator between threat appraisal (in terms of both health and social life) and intentions to get vaccinated when vaccination was not already available. In Study 2 (N = 1111, 68.9% women; mean age = 38.33), we aimed to understand how people who got vaccinated and the ones who did not differed, considering fear of vaccination, personality and vaccination hesitancy, which is determined not only by strictly individual but also by social factors. In study 1, contrary to what we expected, fear of Covid-19 was not a significant predictor of vaccination intention, which was predicted by both response efficacy and self-efficacy. In Study 2, in line with previous studies, vaccine hesitancy was negatively related to vaccination. More specifically, the social-oriented dimension of collective responsibility was the strongest predictor of effective behaviour. Our findings provide insights into the complexity of vaccine acceptance and emphasise the need for targeted interventions to promote vaccination and mitigate the spread of infectious diseases.
Impact of Pelvic Fracture on Patients With Blunt Bowel Mesenteric Injury: A Retrospective Analysis
Authors: Hsieh Ting-Min , Chuang Po-Chun , Liu Chun-Ting , Wu Bei-Yu , Wu Chien-Hung , Cheng Fu-Jen
Published: November 2023

The management of blunt abdominopelvic trauma with combined hemoperitoneum and pelvic fractures is challenging for trauma surgeons. Although angioembolization can achieve hemostasis in most visceral organ injuries and pelvic fractures after blunt abdominal trauma, it cannot effectively control hemorrhage in patients with blunt bowel mesenteric injury (BBMI). This study aimed to determine the risk factors associated with hemodynamically unstable patients with BBMI and to test the hypothesis that pelvic fracture is an independent risk factor for patients with unstable BBMI and concomitant pelvic fracture to guide the therapeutic sequence for difficult-to-manage patients. This retrospective study reviewed the data of hospitalized patients with trauma between 2009 and 2021 and included 158 adult patients with surgically proven BBMI. The patients were divided on the basis of the presence of a shock episode before emergency laparotomy. The shock group included 44.3% of all patients in the study (n = 70). Clinical injury severity and prognosis for patients in the shock group were poorer than those for patients in the non-shock group, and more invasive treatments and transfusions were performed for patients in the shock group than for those in the non-shock group. Pelvic fractures were more frequently associated in the shock group than in the non-shock group (21.4% vs. 5.7%; p = 0.003). In multivariate analysis, the presence of intracerebral hemorrhage (odds ratio [OR] = 10.87, 95% confidence intervals [CIs]: 1.70–69.75) and rib fracture (OR = 5.94, 95% CIs = 1.06–33.45) were identified as independent predictors of shock, whereas the effect of pelvic fracture did not achieve statistical significance (OR = 2.94, 95% CIs = 0.66–13.13) after adjusting for confounding factors. For patients with BBMI, outcomes need to be improved during early diagnosis and treatments should be expeditiously performed on the basis of the rapid identification of unstable hemodynamic status. In unstable patients with concomitant pelvic fractures, we support the current management algorithm that recommends performing laparotomy first.
Tax Collection and Resilience of Regional Tax Revenue Mobilization Centers in the Face of the COVID 19 Crisis
Authors: FRANKY KOGUEDA , BIDIASSE HONORE
Published: November 2023

This research identifies the resilience factors of tax centers in Cameroon. To do so, we use binary logistic regression on data collected from tax revenue mobilization centers (TRMC). the results show that the digitization of the tax system and leadership are factors in absorbing the crisis. Access to electricity and staff at the center are the recovery factors for the level of revenue after the crisis. We recommend that public institutions improve the digitalization processes of tax administrations. The transmission channels of digitization such as access to electricity and telecommunications networks must be ensured in the tax centers. Furthermore, we propose to increase the number of tax centers or to build tax kiosks to reduce the distance between taxpayers and their centers of attachment.
Assessing Drought Frequency and Predictive Climate Analysis in two Biosphere Reserves of Benin (West Africa)
Authors: Dossou-Yovo Hubert O. , Osseni Abdel Aziz , Al-Robai Sami Asir , Hegbe Apollon D. M. T. , Razak Sarah Abdul , Sinsin Brice
Published: November 2023

Climate change is affecting the planet, compromising survival and altering forest ecosystems. Investigating climatic variations in all regions is important. The aim of this research was to assess such variations in the W and Pendjari Biosphere Reserves in Benin from 1985 to 2015 and predict climate up to 2045. Drought frequency was assessed by using the Standardized Precipitation and Evapotranspiration Index (SPEI) and correlation was performed between climatic variables. Then a predictive analysis was computed. From 1985 to 2015, there was change in the climate with few severe dry and wet years while no extreme climatic condition was noticed. Most of the years showed nearly normal climatic conditions. The predicted climate indicates an absence of extreme conditions up to 2045 but an increase in the annual humidity is expected. A low decrease in annual mean temperature with high confidence is expected. Decision-makers can better organize adaptation programs and sensitize people in the reserves on their role in environmental conservation and mitigation of climate change using these outputs.
Assessment of a Novel Real-Time Bio-Liquor Circulation System for Manure Management and Odor Reduction in Swine Farming
Authors: Kim Seungsoo , Shim Soomin , Won Seunggun , Ra ChangSix
Published: November 2023

The aim of this study was to investigate the performance of the developed real-time controlled bio-liquor circulation system (BCS) on a farm-scale to optimize bioreactor operation for manure treatment, and to subsequently reduce both manure-related malodor and greenhouse gas (GHG) emissions from slurry pits. The BCS was operated sequentially as per swine manure inflow (anoxic, aerobic, and settling) circulation to the slurry pit. The duration of each operational phase was self-adjusted in real-time using a novel algorithm for detecting the control point on the oxidation-reduction potential (ORP) and pH (mV)-time profiles, the nitrogen break point (NBP), and the nitrate knee point (NKP) in the aerobic and anoxic phases, respectively. The NH4-N in the slurry manure was thoroughly removed (100%) in the bioreactor, optimizing the duration of each operational phase by accurately detecting real-time control points. The newly-developed real-time BCS decreased the nitrogen and organic matter content in the slurry pit manure by > 70%, and the potential ammonia and methane emissions by 75% and 95%, respectively. This study highlights that the this improved BCS that utilizes ORP tracking and pH (mV)-time profiles can effectively optimize BCS operation, and thereby reduce malodor and GHG emissions from swine farms.
Technoeconomic Analysis of Torrefaction and Steam Explosion Pretreatment Prior to Pelletization of Selected Biomass
Authors: Onyenwoke Chukwuka , Tabil Lope G , Dumonceaux Tim , Mupondwa Edmund , Cree Duncan , Li Xue , Onu Olughu Onu
Published: November 2023

Lignocellulosic biomass has demonstrated great potential as feedstock for pellet production, notwithstanding the fact that the industrial production of pellets is faced with some economic challenges. This study presents a technoeconomic analysis of six case scenarios to develop a process model for pellet production from sawdust and oat straw that employs torrefaction and steam explosion pretreatment prior to pelletization. SuperPro Designer was used to carry out this evaluation. The pellet plants were designed to have a capacity of 9.09 t/h of sawdust and oat straw each. The pellet yield ranged from 59 kt– 72 kt/year. Scenarios analyzed included variations of steam explosion and torrefaction. In some scenarios materials were lost in the form of liquid and gas due to the pretreatment process. The breakdown of equipment purchase cost showed that the torrefaction reactor is the most expensive unit with about 51% of the purchase cost. Facility-dependent and feedstock costs were the major significant contributors to the pellet production cost. The profitability of pellet production as determined by the net present value (NPV), internal rate of return (IRR), and payback period and was found to be sensitive to variations in feedstock cost.
Ferrocene-based Electrochemical Sensors for Cations
Authors: Torriero Angel A. J. , Mruthunjaya Ashwin Kumar Varamballi
Published: November 2023

This study investigates novel ferrocene-based electrochemical sensors for metal cation detection through the design, synthesis and characterisation of ferrocene derivatives. Specifically, the re-search determines the redox potentials of ferrocene versus decamethylferrocene to provide in-sight into the redox potential variations between them. The investigation also examines how electrochemical oxidation of the ferrocene moiety can modulate host affinity for transition metals cations via effects such as electrostatic interactions and changes to coordination chemistry. Metal ion coordination to receptors containing functional groups like imine and quinoline is explored to elucidate selectivity mechanisms. These findings advance the fundamental understanding of ferrocene electrochemistry and host-guest interactions, supporting the development of improved cation sensors with optimised recognition properties, sensitivity, and selectivity. Overall, the work lays the necessary groundwork for applications in analytical chemistry and sensor technologies through customised ferrocene-derived materials.
Atomic Model of the Tailed Lactococcal Phage TP901-1 as
Predicted by AlphaFold2: Revelations and Limitations
Authors: Mahony Jennifer , Goulet Adeline , Van Sinderen Douwe , CAMBILLAU Christian
Published: November 2023

Bacteria are engaged in a constant battle against preying viruses, called bacteriophages (or phag-es). These remarkable nano-machines pack and store their genomes in a capsid and inject it into the cytoplasm of their bacterial prey following specific adhesion to the host cell surface. Tailed phages possessing dsDNA genomes are the most abundant phages in the bacterial virosphere, particularly those with long, non-contractile tails. All tailed phages possess a nano-device at their tail tip that specifically recognizes and adheres to a suitable host cell surface receptor, being pro-teinaceous and/or saccharidic. Adhesion devices of tailed phages infecting Gram-positive bacte-ria are highly diverse and, for the majority, remain poorly understood. Their long, flexible and multi-domain encompassing tail limits experimental approaches to determine their complete structure. We have previously shown that the recently developed protein structure prediction program AlphaFold2 can overcome this limitation by predicting the structures of phage adhesion devices with confidence. Here, we extend this approach and employ AlphaFold2 to determine the structure of a complete phage, the lactococcal P335 phage TP901-1. Herein we report the structures of its capsid and neck, its extended tail, and the complete adhesion device, the baseplate, which was previously partially determined by X-ray crystallography.
Common Variants in Osteopontin and CD44 Genes as Predictors of Treatment Outcome in Radiotherapy and Chemoradiotherapy for Non-Small Cell Lung Cancer
Authors: Gałecki Seweryn , Gdowicz-Kłosok Agnieszka , Deja Regina , Masłyk Barbara , Giglok Monika , Suwiński Rafał , Butkiewicz Dorota
Published: November 2023

Osteopontin (OPN)-CD44 signaling plays an important role in promoting tumor progression and metastasis. In cancer, OPN and CD44 overexpression is a marker of aggressive disease and poor prognosis, and correlates with therapy resistance. In this study, we aimed to evaluate the association of single nucleotide polymorphisms (SNPs) in the OPN and CD44 genes with clinical outcomes in 307 non-small cell lung cancer (NSCLC) patients treated with radiotherapy or chemoradiotherapy. The potential impact of the variants on plasma OPN levels was also inves-tigated. Multivariate analysis showed that OPN rs11730582 CC carriers had a significantly in-creased risk of death (p = 0.029), while the CD44 rs187116 A allele correlated with reduced risk of locoregional recurrence (p = 0.016) in the curative treatment subset. The rs11730582/rs187116 combination was associated with an elevated risk of metastasis in these patients (p = 0.016). Fur-thermore, the OPN rs1126772 G variant alone (p = 0.018) and in combination with rs11730582 CC (p = 7x10-5) was associated with poor OS in the squamous cell carcinoma subgroup. The rs11730582 CC, rs187116 GG and rs1126772 G, as well as their respective combinations, were in-dependent risk factors for unfavorable treatment outcomes. The impact of rs11730582-rs1126772 haplotypes on OS was also observed. These data suggest that OPN and CD44 germline variants may predict treatment effects in NSCLC.
The Influence of Backfill on the Driving Energy Intensity and Axial Load Resistance of Piles with Shaft Widening: Modeling Research
Authors: Bekbasarov Isabai , Atenov Yerlan , Shanshabayev Nurzhan
Published: November 2023

The article is dedicated to addressing the current challenge of augmenting the load- bearing ca-pability of pile foundations. This predicament is most effectively addressed by employing piles with unconventional geometries, along with atypical methodologies for installing these foun-dation piles. The primary objective of research is to examine the impact of various fill materials (including both soil and rigid substances) on the energy consumption during pile driving and the resistance to static loads by piles with multiple shaft expansions. The findings derived from model-based investigations demonstrate that the load-bearing capacity of piles with shaft ex-pansions, installed with bulk material filling, surpasses that of conventional piles (prismatic and pyramidal) by a factor ranging from 1.5 to 4.6. Furthermore, the research outcomes also indicate greater energy consumption (1.14-1.66 times) and enhanced load-bearing capacity (1.15-1.68 times) for piles with shaft expansions driven with backfill, in comparison to piles installed without backfill. It is noteworthy that the type of backfill material significantly influences the energy consumption during pile driving and their stability under axial static loads. The correla-tion relationships can be applied to approximate projection of the energy-related and structural parameters of piles with shaft expansions embedded with the addition of bulk materials.
Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-temperature Environment
Authors: Li Liangkai , Huang Jingguang , Li Zhenxing , Qi Hao
Published: November 2023

To address the problems of wind abandonment in the regional integrated energy system (RIES), which occurs when cogeneration unit operates in a heat-determined electricity operation mode, and the low efficiency of the energy storage system in a low-temperature environment, we propose an optimal scheduling method for RIES based on fine energy storage and wind power dissipation. First, a fine energy storage model is established on the source side and the conditional value at risk(CvaR) theory is used to quantify the uncertainty of wind power; then a combined heat and power demand response mechanism is introduced on the load side to reduce the peak-to-valley difference between heat and power loads, and to promote the consumption of wind power. Finally, with the objective of minimizing the total cost of RIES optimal dispatch, the example is solved on the MATLAB platform. The simulation results show that compared with the traditional model, the proposed model is not only more adaptable to the low-temperature environment, but also can effectively improve the system economy and wind power consumption.
Transition from a uniform mode of polaron motion to an oscillatory one when the initial polaron state changes
Authors: Korshunova Alevtina Nikolaevna , Lakhno Victor Dmitrievich
Published: November 2023

A study of the nature of the motion of a Holstein polaron in a homogeneous polynucleotide chain in a constant electric field, depending on the initial polaron state, was carried out. The calculations performed showed that the duration of the uniform motion of the polaron along the chain is finite and depends on the entire set of system parameters, including the characteristic size of the initial polaron state. It is shown that at a fixed value of the electric field intensity, an increase in the characteristic size of the initial polaron state leads to a decrease in the time of uniform motion of the polaron along the chain. It is also shown that a change in the shape of the initial polaron state exerts influence upon not only the duration of the uniform motion of the polaron along the chain, but also the characteristics of the low-density components of the polaron.
The family of mathematical models to describe the metal conductors motion in an electromagnetic field
Authors: Rodin Alexandr Sergeevich
Published: November 2023

The modeling of metal conductors acceleration in an electromagnetic field in a two-dimensional approximation is executed. A family of mathematical models for describing the motion of a body is presented: a model of a thermoelastoplastic body (for the case of large deformations), a model of a viscous compressible liquid and a mixed model that includes two previous models for different phase states of matter. A mathematical model of electromagnetic processes is presented, which allows to ensure the flow of total currents along the cross-sections of conductors. Numerical algorithms based on the finite element method are presented. The described models are used to solve the problem of accelerating the aluminum cylindrical shell to a speed of about 8 km/s. The results obtained for different models were compared with each other, as well as with known calculated and experimental results published in the literature.
Assessment of the impact of the implementation of telemedicine in the sphere of health care.
Authors:   Education Ural State Economic University, Nazarov D. M. , Badaev F. I. ,   Education Ural State Economic University
Published: November 2023

It has been revealed that telemedicine significantly improves the availability of medical care, especially in remote and sparsely populated regions. It has been determined that the integration of telemedicine can improve the quality of medical care due to prompt consultation of specialists and reduction of time for diagnosis. A direct relationship has been found between the use of telemedicine and patient satisfaction. The key factors influencing the effectiveness of telemedicine are identified: the quality of the Internet connection, the training of medical personnel, and the level of patient awareness. It has been established that the use of the DEMATEL method allows one to deeply penetrate the structure of relationships in the telemedicine system and identify potential growth points. Purpose of the study is to determine the complex relationships and interactions within the telemedicine system in the context of healthcare. Materials and methods. The study is based on the application of the DEMATEL method for analyzing cause-and-effect relationships in a telemedicine system. This method allows you to penetrate deeply into the structure of relationships, identify key factors, and highlight causes and consequences. Results. The study results confirm that the integration of telemedicine improves the availability and quality of medical care. The main cause-and-effect relationships influencing the effectiveness of telemedicine in the healthcare context were identified. It has been revealed that telemedicine significantly improves the availability of medical care, especially in remote and sparsely populated regions. It has been determined that the integration of telemedicine can improve the quality of medical care due to prompt consultation of specialists and reduction of time for diagnosis. A direct relationship has been found between the use of telemedicine and patient satisfaction. The key factors influencing the effectiveness of telemedicine are identified: the quality of the Internet connection, the training of medical personnel, and the level of patient awareness. It has been established that the use of the DEMATEL method allows one to deeply penetrate the structure of relationships in the telemedicine system and identify potential growth points. Findings. The importance of using analytical methods such as DEMATEL in the healthcare system has been confirmed. The use of such methods may be the key to optimization and further development of telemedicine in the digital economy.
Chatgpt as one of the elements of digital health literacy: the transformation of healthcare and primary health care.
Authors:   FSBI National Medical Research Centre for Therapy and Preventive Medicine of the Ministry of Health of the Russian Federation, Voshev D. V. , Vosheva N. A. ,   LLC «Data storage center»
Published: November 2023

Artificial intelligence (AI) plays an important role in digital healthcare, including primary health care, and large language models make a significant contribution to this progress. ChatGPT, the newest language model, has aroused interest in the global community, including in the healthcare sector, and attracted attention to the study of large language models in terms of their usefulness and safety of practical use. This article explores the role of ChatGPT as a tool for improving digital health literacy, assessing its benefits and potential risks in the context of modern healthcare and primary health care. Purpose of the study is to еvaluate the potential benefits and challenges of integrating ChatGPT into the healthcare system, including primary health care, as an element of digital health literacy. Materials and methods. A systematic search was conducted in PubMed/MEDLINE and Google Scholar. Results. In the course of this study, concerns were found about the use of ChatGPT. These concerns include ethical issues, transparency and legal aspects, the risk of bias, misquotes, and information security. Findings. ChatGPT is a valuable tool for improving digital health literacy and its implementation can lead to drastic changes in medical education, research and practical healthcare, but its use should be carried out with caution: the cooperation of regulatory authorities of all countries of the world is required. This approach will make it possible to develop legal norms regulating the code of ethics, which will become the basis for the «responsible» use of ChatGPT and other AI-based models in the field of medical education, scientific research and practical healthcare.
Peran Manajemen untuk Mengevaluasi dan Meningkatkan Kinerja UMKM saat Pandemi Covid - 19
Authors:   Universitas Muhammadiyah Sidoarjo, Sriyono Sriyono
Published: November 2023

Alhamdulillah, puji syukur penulis panjatkan kehadirat Alloh SWT, yang telah melimpahkan rahmat dan ridho- Nya sehingga BUKU REFERENSI dengan judul “Peran Manajemen Keuangan Untuk Meningkatkan Kinerja Umkm Yang Terdampak Pandemi Covid-19 “dapat penulis selesaikan. Buku Peran Manajemen Keuangan Untuk Meningkatkan Kinerja Umkm Yang Terdampak Pandemi Covid-19 terdiri dari 5 Bab. Tiap bab dijelaskan mulai dari Permasalahan, konsep strategi serta pemecahan terhadap UMKM. Penulis berharap dengan memaparkan berbagai aspek yang berhubungan dengan Peran Manajemn Keuangan dalam membantu meningkatkan Kinerja UMKM yang terdampak Covid 1, maka buku ini dapat memberikan ilmu kepada paraDosen, peneliti, pengamat serta mahasiswa yang mempelajari bagaimana cara meningkatkan kinerja UMKM yang terdampak Covid 19
Templates of Agency: Objects of a Social Design Program for Disadvantaged Girls
Authors: Csernák Janka
Published: November 2023

Compared to the aesthetic-and market-oriented mindset associated with mainstream design approaches, social design is traditionally considered to be a field that focuses more strongly on the human perspective and community-specific insight (Kimbell 2011; Manzini 2015). It is also a field that pays particular attention to the cultural and anthropological specificities of communities and takes these specificities into account throughout its processes of research and design. This paper presents a social design project, FRUSKA, and examines it from a semiotic and educational point of view. FRUSKA is a design program for disadvantaged girls aged 10–18, aiming at skill building, raising self-awareness and building agency, in order to advance the participants’ life prospects. In an attempt to understand the community better, several objects were designed by the author and her students, based on preliminary research and inquiries conducted with the target group. Building on the premises of social semiotics (Hodge and Kress 1988; van Leeuwen 2005), these objects were specifically designed for the participants to build and customise during co-creation workshops: the participants could disassemble and personalise these objects in a way that is closer to their own aesthetics, filling them up with meaning as a means to practice agency. The design process, its application during workshops and the feedback from participants are analysed through the lens of intersectional theory (Crenshaw 1989), in order to understand the effects of differences in class, age, ethnicity and identity. The author concludes by discussing whether design can be meaningfully used as a language through co-creation.
Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors
Authors: Wang Shen , Han Jianzhong , Huang Jingru , Islam Khayrul , Shi Yuheng , Zhou Yuyuan , Kim Dongwook , Zhou Jane , Lian Zhaorui , Liu Yaling , Huang Jian
Published: November 2023

Background
Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the assessment of their functions, has long been a central focus in stem cell research. In recent years, deep learning has emerged as a powerful tool for cell image analysis and classification/prediction.
Methods
In this study, we explored the feasibility of employing deep learning techniques to differentiate murine HSCs and MPPs based solely on their morphology, as observed through light microscopy (DIC) images.
Results
After rigorous training and validation using extensive image datasets, we successfully developed a three-class classifier, referred to as the LSM model, capable of reliably distinguishing long-term HSCs (LT-HSCs), short-term HSCs (ST-HSCs), and MPPs. The LSM model extracts intrinsic morphological features unique to different cell types, irrespective of the methods used for cell identification and isolation, such as surface markers or intracellular GFP markers. Furthermore, employing the same deep learning framework, we created a two-class classifier that effectively discriminates between aged HSCs and young HSCs. This discovery is particularly significant as both cell types share identical surface markers yet serve distinct functions. This classifier holds the potential to offer a novel, rapid, and efficient means of assessing the functional states of HSCs, thus obviating the need for time-consuming transplantation experiments.
Conclusion
Our study represents the pioneering use of deep learning to differentiate HSCs and MPPs under steady-state conditions. With ongoing advancements in model algorithms and their integration into various imaging systems, deep learning stands poised to become an invaluable tool, significantly impacting stem cell research.
Infection-on-a-chip for viral entry modeling
Authors: Daniel Susan , Chao Zhongmou , Selivanovitch Ekaterina , Kallitsis Konstantinos , Lu Zixuan , Owens Roisin
Published: November 2023

Reassembling cell membranes on functional supports can facilitate sensing and studying biorecognition events at the cell surface. Here, we introduce a bioelectrical sensing platform on which biomimetic supported lipid bilayers (SLBs) are assembled and electrical signals are used to detect distinct SARS-CoV-2 virus entry pathways. By recreating the host microenvironmental signals, we were able to initiate and monitor fusion events between SLBs and Spike-decorated virus pseudoparticles (VPPs) via changes in membrane resistance using electrochemical impedance spectroscopy (EIS) and confirm independently by total internal reflection microscope (TIRF). EIS data indicated that fluctuations in resistance vary depending on the VPP/SLB interactions (i.e. binding versus fusion) and our sensing platform can distinguish between the two events. We show that this sensing platform offers complete control over components presented, allows for the SLB to model either the host cell or viral surfaces, and can distinguish between virus variants with different fusogenicities. Though SARS-CoV-2 VPPs and biomimetic SLBs serve as a model system, we anticipate that the full capacity of this platform can be realized by expanding to other enveloped viruses and different cell lines to quantifiably explore virus/host interactions, which can be tuned to mimic the membrane environment of a particular host.
Transfer and extension of experience from urban heavy rain flood risk warning
Authors: Einfalt Thomas , Jasper-Tönnies Alrun , Castro Bruno
Published: November 2023

The high variability of local intense rainfall events and the short response time of flow in urban catchments demand improved methods in flood warning systems. A key aspect of success is the improvement of short-term forecasts of heavy rainfall by combining ensembles of radar nowcasts with numerical weather prediction ensembles. This paper presents results from this approach in the context of the urban fluvial water management and flood warning system in Hamburg since 2019 and extends its conclusions to other application fields. New challenges from this operational context are being investigated in another research project focusing on the city of Hanover. The topics of improved spatial rainfall data resolution, use of ensemble information from radar nowcasts for pluvial flood warning in connection with sewer load and possible solutions for real-time applications in the urban context are tackled. Experiences from both projects illustrate the importance of applying real-time measurements and ensemble forecasts in connection with a clear open information strategy. Data quality and resolution are crucial aspects in this context, making the combination of different data sources potentially significant for improving the outcome.
Oral Fluorescein angiography in the diagnosis of paediatric optic nerve abnormalities.
Authors: Muthusamy Brinda , Brady Robert Thomas , Kaza Hrishikesh , Jain Nikhil
Published: November 2023

OBJECTIVE
FFA is a well-established investigation for the diagnosis of optic nerve abnormalities, requiring an intravenous cannula and extended imaging acquisition time. Cannulation can present a challenge in paediatric patients and whilst oral FFA has been used for decades, it has been limited by imaging technology and unconfirmed image acquisition timings. For years, we have used a modern ultra-widefield retinal camera, and established imaging time-points to demonstrate dynamic optic nerve head changes upon ingestion of fluorescein and collected a database of oFFA images for various presentations.
METHODS
Using an established protocol, optic nerve colour images were obtained, followed by oral administration of fluorescein dye. The optic nerves are then imaged at established intervals. An interpretation of oFFA tutorial was delivered to consultant ophthalmologists and trainees. Subsequently, these groups were assessed using a series of fifteen cases with sensitivity and specificity of the test determined.
RESULTS
Our study presents a series of images and descriptions for common optic nerve abnormalities in paediatric populations. In the interpretation part of the study, overall sensitivity of 76.8% in the consultant group vs 63.3% in the combined consultant + trainees and specificity of 87.5% vs 68.4% in the combined group.
CONCLUSIONS
This is the first study that describes characteristic features of several common, and serious, optic nerve abnormalities specifically for oFFA interpretation in a paediatric population. It also highlights the rapid accumulation of oFFA interpretation skills in non-specialist consultant and trainee ophthalmologists such as to obtain a high diagnostic accuracy with high sensitivity and specificity.
Investigating the genetic control of plant development under speed breeding conditions
Authors: Rossi Nicola , Powell Wayne , Mackay Ian , Hickey Lee , Maurer Andreas , Pillen Klaus , Halliday Karen , Sharma Rajiv
Published: November 2023

Speed breeding is a tool to accelerate breeding and research programmes. Despite its success and growing popularity with breeders the genetic basis of plant development under speed breeding remains unknown. This study explored the developmental advancements of parley genotypes under different photoperiod regimes. A subset of the HEB-25 Nested Association Mapping population was evaluated for days to heading and maturity under two contrasting photoperiod conditions: 1) Speed Breeding (SB) consisting of 22 hours of light and 2 hours of darkness, and 2) Normal Breeding (NB) consisting of 16 hours of light and 8 hours of darkness. GWAS revealed that developmental responses under both conditions were largely controlled by two loci: PPDH-1 and ELF3. Allelic variants at these genes determine whether plants display early flowering and maturity under both conditions. At key QTL regions, domesticated alleles were associated with late flowering and maturity in NB and early flowering and maturity in SB, whereas wild alleles were associated with early flowering under both conditions. We hypothesise that this is related to the dark dependent repression of PPD-H1 by ELF3 which might be more prominent in NB conditions. Furthermore, by comparing development under two photoperiod regimes, we derived an estimate of plasticity for the two traits. Interestingly, plasticity in development was largely attributed to allelic variation at ELF3. Our results have important implications for our understanding and optimisation of speed breeding protocols particularly for introgression breeding and the design of breeding programmes to support the delivery of climate resilient crops.
How does transition finance influence green innovation of high-polluting and high-energy-consuming enterprises? Evidence from China
Authors: Liu Chao , Yang Yujie , Chen Shuai
Published: November 2023

Under the impact of "double-carbon" target, transition finance has an important impact on green innovation of Chinese double-high enterprises. Using a sample of 4270 high-polluting and high-energy-consumption listed enterprises(referred to as double-high enterprises) in China from 2012 to 2021, this paper empirically examines the impact of transition finance on the green innovation of China's double-high enterprises by using a fixed-effects model. The study finds that transition finance can have a facilitating effect on green innovation in double-high enterprises. The intermediary mechanism test shows that transition finance can promote green innovation of double-high enterprises through alleviating financing constraints, increasing the level of green management, and enhancing the policy orientation effect. The heterogeneity test finds that transition finance promotes green innovation more significantly for the double-high enterprises that are state-owned, large-scale, and located in regions with high levels of intellectual property protection. Further research finds that the role of transition finance in promoting green innovation in double-high enterprises helps to promote the achievement of green development of double-high enterprises.
In-plane template induced selective growth of H-phase CrSe2
Authors: Wee Andrew , Liu Meizhuang , Gou Jian , liu Zizhao , Ye Yuliang , Xu Jing , Chen Zuxin , Xu Xiaozhi , Zhong Dingyong , Eda Goki
Published: November 2023

Phase engineering in two-dimensional transition metal dichalcogenides (2D-TMDs) offers opportunities for exploring their unique properties of different phases and achieving new desired functionalities. Here, we report a selective synthetic strategy for the molecular beam epitaxy growth of the H-phase CrSe2 induced by an in-plane heteroepitaxial template. The lattice-matched MoSe2 nanoribbons are utilized as the in-plane heteroepitaxial template to seed the growth of H-phase CrSe2 thin layers with the consequential formation of MoSe2-CrSe2 lateral heterostructures. Scanning tunneling microscopy and non-contact atomic force microscopy studies reveal the atomically sharp interfaces in the lateral heterostructures and the characteristic defects of mirror twin boundaries emerging in the H-phase CrSe2 monolayers. Distinct from the metallic T-phase CrSe2, the semiconducting character of the H-phase CrSe2 is detected using the scanning tunneling spectroscopy. The type-I straddling band alignments of MoSe2-CrSe2 lateral heterostructures are directly visualized in atomic precision with band bending at the interfaces. The mirror twin boundaries in the H-phase CrSe2 exhibit the Tomonaga-Luttinger liquid behavior in the confined one-dimensional electronic system. This in-plane heteroepitaxial template induced phase-selective growth provides a promising approach for phase engineering of 2D TMDs, thereby further expanding the library of crystal phases and promoting the versatile device applications of specific phases.