High Cost Of Technology Research Articles

واقع التقنيات التعليمية ودورها في تعزيز الهوية العربية والإسلامية لدى متعلمي اللغة العربية الناطقين بلغات أخرى

The study attempts to know and analyze the reality of employing educational technologies, determine obstacles to its activation, and find the ways and suggestions to increase its effectiveness in teaching Arabic for speakers of other languages. The study also determines the level of pride in its Arab and Islamic identity. A descriptive analytical method is employed using a questionnaire as a main tool for the study. It includes (29) Items to get the responses of the adults of the research sample. The number of students who responded is (97) of the Arabic Teaching Institute for Non-Native Speakers at the Islamic University. The study concludes: the reality of employing educational technologies comes at a high degree in teaching Arabic for speakers of other languages and the level of pride in the Arab and Islamic identity is high among learners of Arabic language who speak other languages. The most important obstacles in employing educational technologies in teaching Arabic Language are the high cost of digital technologies and the inability of educational institutions to provide them. The study suggests that an appropriate and adequate educational environment for employing educational technologies should be provided.

Establishment of a novel system for photothermal removal of ampicillin under near-infrared irradiation: Persulfate activation, mechanism, pathways and bio-toxicology

One of the most effective ways to address the problems of low solar spectrum utilization in photocatalysis and the high cost of persulfate activation technology is to create a cost-effective synergistic photothermal persulfate system. In this work, a brand-new composite catalyst called ZnFe2O4/Fe3O4@MWCNTs (ZFC) was developed to activate PDS (K2S2O8) from the aforementioned basis. ZFC's surface temperature could unbelievably reach 120.6 °C in 150 s together with the degrading synergistic system solution temperature could reach 48 °C under near-infrared light (NIR) in 30 min, thus accelerating the ZFC/PDS decolorization rate for reactive blue KN-R (150 mg/L) to 95% in 60 min. Furthermore, the ZFC's ferromagnetism bore it with good cycling performance, allowing it to maintain an 85% decolorization rate even after 5 cycles with OH·, SO4-·, 1O2, and O2–· dominating the degrading process. In the meantime, the DFT calculations of the kinetic constants for the entire process of S2O82- adsorption on Fe3O4 in dye degradation solution were in agreement with the outcomes of the experimental pseudo-first-order kinetic fitting. By analyzing the particular degradation route of ampicillin (50 mg/L) and the possible environmental impact of the intermediate using LC-MS and the toxicological analysis software (T.E.S.T.), respectively, it was shown that this system might function as an environmentally friendly method for removing antibiotics. This work may provide some productive research lines for the creation of a photothermal persulfate synergistic system and suggest fresh approaches to water treatment technology.

Formation of environmental marketing strategies for the development of enterprises on the market of goods and services

The formation of ecological marketing strategies for the development of enterprises in the market of goods and services is an urgent task considering growing social and environmental burdens. A modern enterprise must consider not only the positive financial result of its activities but also its responsibility to nature and society. Therefore, the study is devoted to the analysis, justification, and implementation of ecological marketing strategies as a tool for ensuring the sustainable development of enterprises in the modern market. The context of environmental challenges and opportunities in business has been studied. Consumer expectations regarding environmental responsibility and sustainability of enterprises are growing, which requires companies to pay attention to the implementation of environmental aspects in their strategy. The fundamental principles of the formation of ecological marketing strategies have been identified. These include the implementation of sustainable resource efficiency, reducing the impact on the environment, as well as actively informing consumers about the sustainable nature of products and services. The methods and tools that help enterprises implement their environmental strategies are defined. Among them are environmental audits, product certification, development of new ecological products, use of green technologies, etc. The advantages and challenges of the formation of ecological marketing strategies are analyzed on the example of enterprises that have already successfully implemented such approaches. It was found that environmental strategies contribute to increasing consumer loyalty, increasing competitiveness, and creating the image of a socially responsible brand. However, there are challenges on the road to success, such as the high costs of green technology and staff training, which require management solutions. It is essential to ensure the adaptation of the strategy to a specific industry and consumer audience, to interact with environmental organizations and state institutions actively, as well as to regularly monitor and evaluate the results of the implementation of environmental strategies. In general, the formation of ecological marketing strategies for the development of enterprises in the market of goods and services plays a crucial role in ensuring sustainable development and preservation of the environment. The study reveals a comprehensive approach to this problem and provides recommendations for effectively implementing environmental marketing strategies in practice. Keywords: ecological strategy, ecological marketing, the market of ecological goods and services, sustainable development

Making Home Work; Making Work Home: Charting a New Paradigm for Employment Relations in an Emerging Work Environment

Following the emergence of the virtual Organization resulting from the third and fourth phases of the Industrial revolution, the old Employment Relations paradigm has seized to function optimally. The objective of this paper was to explore an Employment Relations paradigm shift that will match the contemporary workforce, workplace and Organization. This paper explored the people management models that emerged in the phases of the industrialization process. Exploring extant literature, the effect of the third and fourth Industrial revolution with the corresponding digital production process that gave rise to the emergence of remote working, a remote workforce and a digital organization were unveiled. The challenges faced with the management of the digital workforce, including the implications of the birth of Remote Working on Employment Relations were analyzed. The paper posited that the workplace rules currently in vogue are modeled to work for physical workplace settings. The paper concluded and recommended that models of workplace rule making for Remote working will now need the instrumentality of high cost technologies, employees and Managers re-skilling as an Employment Relations paradigm shift that will make work home, and home work. Keywords: Employment Relations, Paradigm Shift, Remote workforce, Digital Organization.

Ötz-T: 3D-printed open-source turbidity sensor with Arduino shield for suspended sediment monitoring

Fine sediment production in catchments and transport through rivers to floodplains and coastal areas is extremely important for riverine, coastal and marine ecosystems, nutrient transport, global biogeochemical cycles, water quality and pollution. Due to the high cost of suspended sediment monitoring technology, it is extremely difficult to obtain a complete understanding of the physical connections between climate, hydrology, fluvial processes, and sediment fluxes, which requires measurements at many locations. For this reason, we have built an open-source turbidity sensor that brings accessibility to global river research. Compared to commercial turbidity sensors (>6000€), our low-cost version (∼200€) allows for multiple deployment and therefore a high spatial coverage of sediment fluxes. It is an optical scatter sensor with an 850 nm LED and two IR detectors, and features a temperature and pressure sensor. Our sensor is 3D-printed on a hobby printer and is programmed with Arduino IDE, making it accessible to those without high-tech workshop access and limited programming skills. It features a printed circuit board that stacks on top of an ultra low-power Arduino MKR WAN 1310, for durability and easy assembly. The sensor was tested during a flood in September 2022 on the Ötztal Ache in Tirol, Austria.

Challenges in Embracing Virtual Reality from Healthcare Professional’s Perspective: A Qualitative Study

Virtual reality (VR) in healthcare is relatively new concept and the views of healthcare professionals (HCPs) on its potential should be studied. We set out to investigate the perception of HCPs concerning VR’s feasibility and utility in healthcare. An exploratory qualitative study was conducted among HCPs in a medical teaching institution in the Klang Valley, Malaysia from March until July 2021. Focus group discussions were held using semi-structured questions consisting of four categories i.e., utility, training, development and resources and obstacles were developed deductively prior to the study. They were analysed using thematic coding. The data were presented in the form of categories, themes and quotes. Seven doctors, four allied health professionals and four science officers were among the fifteen respondents. A total of 16 themes were derived out of the four categories which were usage, purpose, new modality, individual experience, patient safety, trainer-trainer safety, training standardisation, logistic, interactivity, cost to consumers, potentiality, management support, limitation, funding, lack of expertise, and mindset ignorance. Apart from safety concerns, high VR technology costs were expected to become more affordable in the future. Cybersickness was also of a concern. This study demonstrated that VR was feasible in healthcare education and practice if several critical factors were considered, including increased funding, a more favourable mindset, increased visibility, awareness of available resources and increased collaboration between technical and subject matter experts. As VR acts as simulation, VR ensures trainee's, teacher's and patient's safety while allowing more flexible training in a variety of clinical scenarios.

Genetic Diagnosis of Inborn Errors of Immunity in an Emerging Country: a Retrospective Study of 216Moroccan Patients.

Genetic testing provides great support to validate the clinical diagnosis of inborn errors of immunity (IEI). However, the high cost and advanced technology make these tests inaccessible to a large proportion of patients in low-income countries. In the present study, we aim to evaluate the Moroccan experience in genetic testing and to report the main molecular features and difficulties encountered in genetic diagnosis. We performed a multi-center retrospective analysis of all patients with a molecular diagnosis and registered in the national registry between 2010 and 2022. To estimate the impact of the newly identified mutations, we calculated the Combined Annotation Dependent Depletion (CADD) score and the mutation significance cutoff (MSC) for each variant. A total of 216 (29%) patients received a genetic diagnosis out of 742 patients with IEI included in the registry. All genetic tests were performed in the context of thesis projects (40%) or international collaborations (60%). A set of 55 genetic defects were identified, including 7 newly reported: SNORA31, TBX21, SPPL2A, TYK2, RLTPR, ZNF341, and STAT2 GOF. Genetic diagnoses were more frequent in the defects of innate and intrinsic immunity with a percentage of 78%, while antibody deficiencies had a lower frequency with a percentage of 17.5%. Only one genetic diagnosis has been made in the complement deficiency group. The most commonly used molecular techniques were Sanger sequencing (37%) followed by targeted gene sequencing (31%). The thesis projects and collaborations were beneficial as they allowed us to provide a definitive genetic diagnosis to 29% of the patients and to contribute to the identification of new genetic defects and mutations. These results offer insight into the progress made in genetic diagnoses of IEI in Morocco, which would provide a baseline for improving the clinical management of patients with IEI.

Adoption of modern technologies for implementing industry 4.0: an integrated MCDM approach

PurposeModern technologies are seen as an essential component of the fourth industrial revolution (industry 4.0) and their adoption is vital to transform the existing manufacturing system into industry 4.0-based manufacturing system. Therefore, the primary objective of this research explores the barriers of modern technology adoption and their mitigating solutions in order to align with Industry 4.0 objectives.Design/methodology/approachBarriers to adopting modern technologies and respective mitigating solutions are identified from the available literature. Further, these barriers are ranked with the help of expert opinions by using the BWM method appropriately. The identified solutions are ranked using the combined compromise solution (CoCoSo) method.FindingsSeveral modern technologies and their capabilities are recognised to support the industry 4.0-based manufacturing systems. This study identifies 22 barriers to the effective adoption of modern technologies in manufacturing and 14 solutions to overcome these barriers. Change management, the high initial cost of technology and appropriate support infrastructure are the most significant barriers. The most prominent solutions to overcome the most considerable barriers are ‘supportive research, development and commercialisation environment’, ‘updated policy and effective implementation’ and ‘capacity building through training’ that are the top three solutions that need to be addressed.Research limitations/implicationsThe barriers and solutions of modern technology adoption are obtained through a comprehensive literature review, so there is a chance to ignore some significant barriers and their solutions. Furthermore, ranking barriers and solutions is done with expert opinion, which is not free from biases.Practical implicationsThis identification and prioritisation of barriers will help managers to understand the barriers so they can better prepare themselves. Furthermore, the suggested solutions to overcome these barriers are helpful for the managers and could be strategically adopted through optimal resource utilisation.Originality/valueThis study proposes a framework to identify and analyse the significant barriers and solutions to adopting modern technologies in the manufacturing system. It might be helpful for manufacturing organisations that are willing to transform their manufacturing system into industry 4.0.

A pseudo-Siamese framework for circRNA-RBP binding sites prediction integrating BiLSTM and soft attention mechanism.

Circular RNAs (circRNAs) are widely expressed in tissues and play a key role in diseases through interacting with RNA binding proteins (RBPs). Since the high cost of traditional technology, computational methods are developed to identify the binding sites between circRNAs and RBPs. Unfortunately, these methods suffer from the insufficient learning of features and the single classification of output. To address these limitations, we propose a novel method named circ-pSBLA which constructs a pseudo-Siamese framework integrating Bi-directional long short-term memory (BiLSTM) network and soft attention mechanism for circRNA-RBP binding sites prediction. Softmax function and CatBoost are adopted to classify, respectively, and then a pseudo-Siamese framework is constructed. circ-pSBLA combines them to get final output. To validate the effectiveness of circ-pSBLA, we compare it with other state-of-the-art methods and carry out an ablation experiment on 17 sub-datasets. Moreover, we do motif analysis on 3 sub-datasets. The results show that circ-pSBLA achieves superior performance and outperforms other methods. All supporting source codes can be downloaded from https://github.com/gyj9811/circ-pSBLA.

Batch Optimization for DNA Synthesis

Large pools of synthetic DNA molecules have been recently used to reliably store significant volumes of digital data. While DNA as a storage medium has enormous potential because of its high storage density, its practical use is currently severely limited because of the high cost and low throughput of available DNA synthesis technologies. We study the role of batch optimization in reducing the cost of large scale DNA synthesis, which translates to the following algorithmic task. Given a large pool <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {S}$ </tex-math></inline-formula> of random quaternary strings of fixed length, partition <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {S}$ </tex-math></inline-formula> into batches in a way that minimizes the sum of the lengths of the shortest common supersequences across batches. We introduce two ideas for batch optimization that both improve (in different ways) upon a naive baseline: (1) using both <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(ACGT)^{\ast}$ </tex-math></inline-formula> and its reverse <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(TGCA)^{\ast}$ </tex-math></inline-formula> as reference strands, and batching appropriately, and (2) batching via the quantiles of an appropriate ordering of the strands. We also prove asymptotically matching lower bounds on the cost of DNA synthesis, showing that one cannot improve upon these two ideas. Our results uncover a surprising separation between two cases that naturally arise in the context of DNA data storage: the asymptotic cost savings of batch optimization are significantly greater in the case where strings in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {S}$ </tex-math></inline-formula> do not contain repeats of the same character (homopolymers), as compared to the case where strings in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {S}$ </tex-math></inline-formula> are unconstrained.

Determining the influence of a filler on the properties of composite materials based on Phenylone C2 for tribojunctions in machines and assemblies

The introduction of polymer-composite materials makes it possible not only to solve the problem of increasing durability, reducing the mass and cost of machines, but also, by introducing fillers, to adapt them to the required operating conditions. At the same time, there is a problem regarding the high cost of technologies for obtaining composites, which limits their widespread implementation. That is why the object of this research is the processes of influence of the filler on the characteristics and properties of polymer-composite materials. Complex laboratory studies of physical and mechanical characteristics, tribological and thermophysical properties of the developed polymer-composite materials based on Phenylone C2 were carried out. The dependence of the coefficient of friction and wear of the material based on Phenylone C2, containing thermally expanded graphite, on the pressure and nature of counter-bodies during friction with lubrication and without it was established. It was revealed that the minimum amount of wear of the material, with friction with lubrication, is achieved under the pressure on tribojunction of 5 MPa. It was established that with an increase in the concentration of filler from 5 to 25 wt% the coefficient of thermal conductivity increases by 4–40.8 %, compared with that non-filled with Phenylone C2. It was found that the introduction of thermally expanded graphite into Phenylone C2 in the amount of 5 wt % leads to a decrease in heat capacity by 34 %. The proposed technology of obtaining polymer-composite materials in the electromagnetic field provides sufficient physical and mechanical characteristics, tribological properties and low cost of finished products (parts). The results reported here make it possible to adapt the physical and mechanical characteristics, thermophysical and tribological properties of polymer-composite materials to certain modes of operation of movable junctions

A new dawn for energy storage: An interdisciplinary legal and techno-economic analysis of the new EU legal framework

Beyond the hitherto high cost of storage technologies, regulatory and market barriers such as lack of definition, double grid charges and unclear ownership rules have hindered their deployment. These barriers, however, have been largely overlooked in energy modelling research, calling for new interdisciplinary research. In 2019, the new EU electricity market directive was released with energy storage as a central element. Against this background, we study the impact of the new EU legal framework on the value of energy storage across 12 countries using techno-economic modelling informed by legal analysis and expert interviews. We conclude that the new legal regime fits for behind-the-meter batteries which could become widespread across Europe, considering their important value creation. This could also be the case for community storage, especially if national transpositions of the new legal regime prevent double grid charges or at least, moderate them. Legal certainty is created by prohibiting network operators to operate energy storage, but we argue that benefit stacking including applications which support electricity grids would only be possible if network operators set up transparent flexibility markets for the interested parties.

Rural Electrification and the Uptake of Renewable Energy in Nigeria: Lessons from Kenya

Recent technology advancements have brought to the fore the role renewable energy can play in providing timely access to clean and affordable energy in the rural areas. Although rural electrification programme in Nigeria aims at harnessing renewable energy resources for improved electricity access, the contribution of renewable energy has remained marginal till date. The aim of this paper is to identify barriers to the uptake of renewable energy for improved access to electricity in the rural areas. The paper finds that inadequate funding of rural electrification programme, high initial costs of renewable energy technology, absence of community participation coupled with the absence of a body with specific mandate to promote the use of renewable energy for rural electrification are major barriers to the rural application of renewable energy. Failure of Nigeria to address the issues will have implications for electricity access in the rural areas.

Development of a 16-Channel Broadband Piezoelectric Micro Ultrasonic Transducer Array Probe for Pipeline Butt-Welded Defect Detection.

Butt welding is extensively applied in long-distance oil and gas pipelines, and it is of great significance to conduct non-destructive ultrasonic testing of girth welds in order to avoid leakage and safety accidents during pipeline production and operation. In view of the limitations of large transducer size, single fixed beam angle, low detection resolution and high cost of conventional ultrasonic inspection technologies, a 16-channel piezoelectric micro ultrasonic transducer (PMUT) array probe was developed through theoretical analysis and structural optimization design. After the probe impedance characterization, the experimental results show that the theoretical model can effectively guide the design of the ultrasonic transducer array, offering the maximum operating frequency deviation of less than 5%. The ultrasonic echo performance tests indicate that the average −6 dB bandwidth of the PMUT array probe can be up to 77.9%. In addition, the fabricated PMUT array probe has been used to successfully detect five common internal defects in pipeline girth welds. Due to the multiple micro array elements, flexible handling of each element, large bandwidth and high resolution of defect detection, the designed PMUT array probe can provide a good application potential in structural health monitoring and medical ultrasound imaging fields.

FACTORS INFLUENCING ADOPTION OF IMPROVED CASSAVA- GARRI PROCESSING TECHNOLOGIES AMONG RURAL WOMEN IN VANDEIKYA LOCAL GOVERNMENT AREA OF BENUE STATE, NIGERIA

The study assessed factors influencing adoption of improved cassava processing technologies: a case of cassava - garri processing among rural women in Vandeikya Local Government Area of Benue state, Nigeria. A multi-stage sampling technique was used to select 160 respondents for the study. Primary data were collected with the use of structured questionnaire instrument and were analyzed using descriptive statistics and multiple regression analysis. The result revealed that the mean age of the farmers was 39 years with majority (94%) of them married. The result further showed that more than half (53%) had primary education with a mean household size of 9 persons and mean garri processing experience of 10 years. The mean annual income of the women was N90953 with majority (82%) not belonging to any cooperative society. The result further showed that only 18% of the respondents have had visits from the extension agents in the last two years and only 16% of the respondents accessed credit for their processing enterprise. Mechanical grater had the highest adoption level of 88% followed by the screw press (54%). This level of adoption can be regarded as low. Age (-.0489), years of processing experience (.0581), membership of cooperative society (.0588) and annual income (.3359) of processors were the factors that influenced farmers’ adoption of improved garri processing technologies in the study area. The major constraints to adoption of improved garri processing technologies were high cost of technology (83%), lack of awareness of some technologies (61%), lack of credit facilities (34%). The study recommends subsidization of these improved technologies so that processors could afford to purchase and make use of them. Awareness creation on the existence and importance of these technologies should be strengthened among cassava processors to enhance more adoption of the technologies.

Newborn Skin Maturity Medical Device Validation for Gestational Age Prediction: Clinical Trial.

BackgroundEarly access to antenatal care and high-cost technologies for pregnancy dating challenge early neonatal risk assessment at birth in resource-constrained settings. To overcome the absence or inaccuracy of postnatal gestational age (GA), we developed a new medical device to assess GA based on the photobiological properties of newborns’ skin and predictive models.ObjectiveThis study aims to validate a device that uses the photobiological model of skin maturity adjusted to the clinical data to detect GA and establish its accuracy in discriminating preterm newborns.MethodsA multicenter, single-blinded, and single-arm intention-to-diagnosis clinical trial evaluated the accuracy of a novel device for the detection of GA and preterm newborns. The first-trimester ultrasound, a second comparator ultrasound, and data regarding the last menstrual period (LMP) from antenatal reports were used as references for GA at birth. The new test for validation was performed using a portable multiband reflectance photometer device that assessed the skin maturity of newborns and used machine learning models to predict GA, adjusted for birth weight and antenatal corticosteroid therapy exposure.ResultsThe study group comprised 702 pregnant women who gave birth to 781 newborns, of which 366 (46.9%) were preterm newborns. As the primary outcome, the GA as predicted by the new test was in line with the reference GA that was calculated by using the intraclass correlation coefficient (0.969, 95% CI 0.964-0.973). The paired difference between predicted and reference GAs was −1.34 days, with Bland-Altman limits of −21.2 to 18.4 days. As a secondary outcome, the new test achieved 66.6% (95% CI 62.9%-70.1%) agreement with the reference GA within an error of 1 week. This agreement was similar to that of comparator-LMP-GAs (64.1%, 95% CI 60.7%-67.5%). The discrimination between preterm and term newborns via the device had a similar area under the receiver operating characteristic curve (0.970, 95% CI 0.959-0.981) compared with that for comparator-LMP-GAs (0.957, 95% CI 0.941-0.974). In newborns with absent or unreliable LMPs (n=451), the intent-to-discriminate analysis showed correct preterm versus term classifications with the new test, which achieved an accuracy of 89.6% (95% CI 86.4%-92.2%), while the accuracy for comparator-LMP-GA was 69.6% (95% CI 65.3%-73.7%).ConclusionsThe assessment of newborn’s skin maturity (adjusted by learning models) promises accurate pregnancy dating at birth, even without the antenatal ultrasound reference. Thus, the novel device could add value to the set of clinical parameters that direct the delivery of neonatal care in birth scenarios where GA is unknown or unreliable.International Registered Report Identifier (IRRID)RR2-10.1136/bmjopen-2018-027442

Governing industry decarbonisation: Policy implications from a firm perspective

Industry is responsible for around 1/3 of annual global greenhouse gas emissions. To limit global warming, many nations, including Switzerland, have committed to a (near) net-zero emission industry target by 2050. While the policy relevance of an industry transition increases, specific knowledge on the key barriers and drivers towards industrial decarbonisation is still largely missing. With the objective to contribute to the decision basis for effective policy development and based on 17 semi-structured interviews with firms from the Swiss industry, we investigate the key factors that hinder or accelerate a timely adoption of decarbonisation technologies. We relate the identified barriers and drivers from our interviews to an adapted St. Gallen Management Model (SGMM), a well-known, system-oriented management framework. Our study shows that the SGMM categories technology & economy (e.g. high technology costs), state & policymakers (e.g. emission price) and finance & controlling (e.g. pay-back periods) are most frequently mentioned by the interviewees and that the firms’ decarbonisation decisions are influenced by both the firm itself as well as external stakeholders, such as the government, consultants, customers, NGOs or suppliers. Therefore, we conclude that the firm itself and each of these stakeholders must play a key part in fostering industry decarbonisation. We suggest future research to (1) quantitatively assess the importance of the identified barriers and drivers and (2) investigate how policy actions of the relevant stakeholders could be effectively orchestrated and incentivised.

Metal‐Organic Framework with High Densities of Open Metal Sites for Efficient Separation of Propylene from Propane

AbstractThe separation of propylene/propane (C3H6/C3H8) is a critical yet challenging process owing to their similar physical properties and molecular size. So it's urgent to explore efficient porous adsorbents to take place of the energy‐intensive consumption and high cost of traditional cryogenic distillation technologies. Here, we report a mixed metal‐organic framework (M'MOF), [Fe(pyz)Pt(CN)4] (FePt‐M'MOF, pyz=pyrazine) for selective adsorptive separation of C3H6/C3H8at room temperature, which has multiple functional sites and optimized pore channels of about 4.0 Å. This MOF has an excellent separation performance with C3H6uptake of 47.4 cm3/g and a high C3H6/C3H8selectivity of 4.7 under ambient conditions. The separation performance of propylene in this material is driven by π‐π stacking and multiple intermolecular interactions between propylene molecules and the binding sites of FePt‐M'MOF. This material can be prepared at room temperature and is stable in water, providing potential applications for industrial C3H6/C3H8separation.

Waste treatment innovation for infusion bottles using soil solution.

The amount of medical waste, especially infusion bottles, is a problem for environmental pollution. Improper management of infusion bottle waste can have an impact on disease transmission. The medical waste treatment used high technology and high costs will be a financial burden, so simple and effective treatment innovations is needed. This study uses an experimental method of removing bacteria from infusion bottles using a mixture of water and Andoso soil as a solution for washing infusion bottle waste. The soil solution concentration used in washing was 45% with a contact time of 2 minutes. The experiment was carried out with two repetitions. The treatment effect on decreasing the number of bacteria using a multiple linear regression mathematical model. The results showed that the disinfection process of bacterial-contaminated infusion bottles using water required rinsing up to six times, whereas using 45% andosol soil solution only rinsed once. The effectiveness of the disinfection of infusion bottles contaminated with bacteria using soil solution reduces the number of bacteria by 98%.

Atherectomy overuse is a real problem

Atherectomy overuse is a real problem