Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Simulation of a Waste Heat Recovery System for a Cement Manufacturing Process

As the ever-changing world continues to desperately look for alternative energy sources in the midst of an energy crisis, new technologies to recover power are revealing themselves and being implemented all across the globe. Most power plants are looking for more sustainable sources of energy over the long term. One such technology being adopted now by a lot of enterprises are Energy Recovery Systems. These systems work to retain and reuse energy that would otherwise be lost to the atmosphere after a certain process. They are sustainable and require comparatively lower capital. The objectives of this project revolve around the modelling of a Waste Heat Recovery System (WHRS) for a heat intensive manufacturing process. The heat, which would otherwise be lost to the atmosphere, is trapped and converted by a heat recovery unit into reusable energy. The main principle on which such a system would operate is The Rankine Cycle, an idealized thermodynamic cycle. A successful implementation of such an energy recovery system would not just boost the energy efficiency but also reduce the operational costs. The modelling and simulation of the heat recovery system is done on an open-source chemical process flow software known as DWSIM. An analysis of this heat recovery model shows an increase of 19.66% in the energy efficiency of the manufacturing process. Heat recovery systems also have great benefits for the environment, as they reduce the emissions of greenhouse gases by such manufacturing plants and help reduce global warming.
Survey on Question Retrieval in Community Question Answering via NON-Negative Matrix Factorization

: CQA is useful in answering real-world questions. CQA provide a solution to human. Question retrieval in CQA can automatically find the foremost relevant and up to date questions that are solved by other users. We propose an alternative thanks to addressing the word ambiguity and word mismatch problems by taking advantage of probably rich semantic information drawn from other languages. The translated words from other languages via non-negative matrix factorization. Contextual information is exploited during the interpretation from one language to a different language by using Google Translate. Thus, word ambiguity is often solved supported the contextual information when questions are translated. Multiple words that have similar meanings in one language are also translated into a singular word or some words in a very foreign language. it's a word-based translation language model for retrieval with a question likelihood model for an answer. We use a translated representation by alternative enriching the first question with the words from other languages in CQA. We translate English questions into other four languages using Google translate which takes into account contextual information during translation. If we translate the question word by word, it discards the contextual information. We’d expect that such a translation would not be able to solve the word ambiguity problem.
Research Paper: Predictors of Interest in Performing Activities Among Iranian Adolescents With Cerebral Palsy

1. Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran. 2. Department of Occupational Therapy, Rehabilitation Research Center, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran. 3. Department of Public Health Nursing, Faculty of Nursing, AJA University of Medical Sciences, Tehran, Iran. 4. Department of Health and Life Sciences ,Occupational Therapy Program, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK. 5. Pediatric Neurorehabilitation Research Center, Department of Speech Therapy, School of Rehabilitation Sciences, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
SlimChain: Scaling Blockchain Transactions through Off-Chain Storage and Parallel Processing

Blockchain technology has emerged as the cornerstone of many decentralized applications operating among otherwise untrusted peers. However, it is well known that existing blockchain systems do not scale well. Transactions are often executed and committed sequentially in order to maintain the same view of the total order. Furthermore, it is necessary to duplicate both transaction data and their executions in every node in the blockchain network for integrity assurance. Such storage and computation requirements put significant burdens on the blockchain system, not only limiting system scalability but also undermining system security and robustness by making the network more centralized. To tackle these problems, in this paper, we propose SlimChain, a novel blockchain system that scales transactions through off-chain storage and parallel processing. Advocating a stateless design, SlimChain maintains only the short commitments of ledger states on-chain while dedicating transaction executions and data storage to off-chain nodes. To realize SlimChain, we propose new schemes for off-chain smart contract execution, on-chain transaction validation, and state commitment. We also propose optimizations to reduce network transmissions and a new sharding technique to improve system scalability further. Extensive experiments are conducted to validate the performance of the proposed SlimChain system. Compared with the existing systems, SlimChain reduces the on-chain storage requirements by 97% ~ 99%, while also improving the peak throughput by 1.4× ~ 15.6×.
Title : Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI

This PDF receipt will only be used as the basis for generating PubMed Central (PMC) documents. PMC documents will be made available for review after conversion (approx. 2-3 weeks time). Any corrections that need to be made will be done at that time. No materials will be released to PMC without the approval of an author. Only the PMC documents will appear on PubMed Central -this PDF Receipt will not appear on PubMed Central. Journal name: NeuroImage NIHMSID: NIHMS331888 Manuscript Title: Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI Principal Investigator: Submitter: Author support, Elsevier (nihauthorrequest@elsevier.com)
SEISMIC BEHAVIOR OF ASYMMETRIC STRUCTURES WITH DIFFERENT DEGREE OF IRREGULARITY

Irregularity in plan can significantly affect the desired ductile response of structures exposed to earthquake loading. Most of the seismic design codes contain provisions for control of structural irregularities. According to EN 1998-1, a building can be characterized as regular in plan, if six different conditions were satisfied, at all story levels. Some of these conditions are qualitative, but some of them that are based on the determination of eccentricity between the center of mass and the center of stiffness or torsional radius, are quantitative. In order to investigate the influence that the degree of irregularity in plan has on the behavior of the buildings on seismic loading, several mathematical models of five story RC frame structures are analyzed. The degree of irregularity is regulated with the length of the seismic wall placed at the external frame of the structure. Nonlinear dynamic analysis is performed with purpose of numerical evaluation of the seismic behavior of the structures, whereupon input ground motions from three previous earthquakes are used, Imperial Valley – El Centro 1940, Victoria Mexico – Chihuahua 1980, Chi Chi Taiwan 06 – CHY028 1999. Input acceleration histories are scaled for three different levels of seismic hazard that correspond to PGA of 0.12g, 0.24g and 0.36g. In all analyses the seismic action was applied in one direction, perpendicular to the axis of irregularity. From the obtained results it can be noticed that the maximal displacements and the interstory drifts of the structure always occur at the most distant frame from the center of stiffness. The rotations that occur at the top story of the structure are not varying significantly with respect to the degree of irregularity.
In-hospital Mortality and the Predictive Ability of the Modified Early Warning Score in Ghana: Single-Center, Retrospective Study

Background The modified early warning score (MEWS) is an objective measure of illness severity that promotes early recognition of clinical deterioration in critically ill patients. Its primary use is to facilitate faster intervention or increase the level of care. Despite its adoption in some African countries, MEWS is not standard of care in Ghana. In order to facilitate the use of such a tool, we assessed whether MEWS, or a combination of the more limited data that are routinely collected in current clinical practice, can be used predict to mortality among critically ill inpatients at the Korle-Bu Teaching Hospital in Accra, Ghana. Objective The aim of this study was to identify the predictive ability of MEWS for medical inpatients at risk of mortality and its comparability to a measure combining routinely measured physiologic parameters (limited MEWS [LMEWS]). Methods We conducted a retrospective study of medical inpatients, aged ≥13 years and admitted to the Korle-Bu Teaching Hospital from January 2017 to March 2019. Routine vital signs at 48 hours post admission were coded to obtain LMEWS values. The level of consciousness was imputed from medical records and combined with LMEWS to obtain the full MEWS value. A predictive model comparing mortality among patients with a significant MEWS value or LMEWS ≥4 versus a nonsignificant MEWS value or LMEWS <4 was designed using multiple logistic regression and internally validated for predictive accuracy, using the receiver operating characteristic (ROC) curve. Results A total of 112 patients were included in the study. The adjusted odds of death comparing patients with a significant MEWS to patients with a nonsignificant MEWS was 6.33 (95% CI 1.96-20.48). Similarly, the adjusted odds of death comparing patients with a significant versus nonsignificant LMEWS value was 8.22 (95% CI 2.45-27.56). The ROC curve for each analysis had a C-statistic of 0.83 and 0.84, respectively. Conclusions LMEWS is a good predictor of mortality and comparable to MEWS. Adoption of LMEWS can be implemented now using currently available data to identify medical inpatients at risk of death in order to improve care.
Model for

A soft ellipsoid model for Gaussian polymer chains is studied, following an idea proposed by Murat and Kremer [J. Chem. Phys. 108 , 4340 (1998)]. In this model chain molecules are mapped onto ellipsoids with certain shapes, and to each shape a monomer density is assigned. In the ﬁrst part of the work, the probabilities for the shapes and the associated monomer densities are studied in detail for Gaussian chains. Both quantities are expressed in terms of simple approximate formulae. The free energy of a system composed of many ellipsoids is given by an intramolecular part accounting for the internal degrees of freedom and an intermolecular part following from pair interactions between the monomer densities. Structural and kinetic properties of both homogeneous systems and binary mixtures are subsequently studied by Monte-Carlo simulations. It is shown that the model provides a powerful phenomenological approach for investigating polymeric systems on semi-macroscopic time and length scales.
Preparation of porous cadmium sulphide on nickel foam: a novel electrode material with excellent supercapacitor performance

Large surface area, high electrical conductivity, and abundant channels have been recognized to favor faradic capacitors, but their realization at the same time by a facile preparation process is still a great challenge. Here, we synthesized porous cadmium sulphide freely standing on nickel foam (CdS/NF) via a one-step hydrothermal method which possesses high specific capacitance, good rate capability and outstanding cycling stability. The CdS/NF microspheres present pores with a mean size of ∼3 nm, resulting in fast diffusion of ions, facile transportation of electrons and high activity, which make great synergistic contributions to reversible redox reactions. In the resulting supercapacitors, a specific capacitance of 909 F g−1 is achieved at a current density of 2 mA cm−2 with excellent rate capability that 88% of the original capacitance is retained at 50 mA cm−2. After 5000 charge–discharge cycles at current densities as large as 50 mA cm−2, 104% of initial capacitance is maintained. Finally, asymmetric supercapacitors with a high energy density of 28 W h kg−1 at a power density of 160 W kg−1 were obtained.
Migration of Styrene Dimers and Trimers from Polystyrene Containers into Instant Foods

The migration of styrene dimers and trimers from polystyrene containers into instant foods and their content in the container were determined by GC and GC/MS. Thirty-two kinds of instant foods, which included Chinese noodles, Japanese noodles (udon), buckwheat noodles (soba), chow mein (yakisoba), spaghetti, soup (miso-soup, minestrone, etc.) and rice (gomokumeshi, chuka-don and gruel) were analyzed. In the whole instant foods, the migration levels of the total trimers ranged from undetectable to 62.4ng/g (0-33.8μg/cup) while dimers were not found. In the case of Chinese noodles, the migration into noodles was higher than that into soup and the total migration level at 30 minutes after adding hot water was 1.5 times higher than that at 10 minutes. In the case of Chinese noodles and soup in EPS (expandable polystyrene) containers, the contents of dimers and trimers in the material of the containers were under 800μg/g, and they did not detect in the foods. Raw or non-fried noodles had a lower migration level than fried noodles even in PSP (polystyrene paper) cups which contained more than 4, 800μg/g of dimers and trimers. The migration during microwave oven cooking was somewhat higher than during hot-water cooking.
Applicability evaluation of a natural surfactant on the wettability alteration of oil reservoirs' rocks

Surfactant flooding is a suggested enhanced oil recovery (EOR) method in the oil reservoir that wettability alteration mechanism is effective. A new natural-based surfactant derived from Acanthophyllum tree trunk (Chuback) was proposed here to change the wettability of rock faces to water wet for more oil production purpose in the oil reservoir. The results of oil and water contact angle measurement proved that the proposed surfactant has this ability to be used as a surfactant in porous media. The response surface method was also utilized to investigate the effect of surfactant concentration, salt concentration and salt types on the goal responses, water and oil contact angle. According to the results, the optimum Chuback concentration is around 0.75 wt%.
PRICKLY PEAR (OPUNTIA FICUS-INDICA) SEEDS AS A SOURCE OF PHENOLIC COMPOUNDS: MICROWAVE-ASSISTED EXTRACTION OPTIMIZATION AND EFFECT ON FOOD LIPID OXIDATIONS

This study was carried out to optimize Microwave-assisted extraction (MAE) process and assess the possibility of using Opuntia ficus-indica (OFI) seeds as natural antioxidant additives in food. Box–Behnken design was used to optimize total phenolic contents (TPC) and antioxidant activity DPPH• (AA) extraction conditions. The models were verified and validated and the interactions between the factors were studied. Under the optimal conditions, corresponding experimental values for TPC and AA were 5.22± 0.12 mg GAE/g DW and 2.30±0.27 mg GAE/g DW, respectively. Seven and eight compounds were identified in TPC and AA under optimal conditions, respectively, using High-Performance Liquid Chromatography (HPLC) coupled to Mass Spectrometry (MS) analysis. Ferulic acid glucoside was the most concentrated compounds in the OFI seed extract. Rancimat test showed that OFI seed extract gives the highest oxidative stability with 150 ppm. The presented data could be a reliable guideline for establishing full-scale, cost-effective and resource-effective food industry process.
Men's psychological well-being during COVID-19: the moderator role of posttraumatic growth

Background and objective: Men are signiﬁcantly affected by COVID-19 stressors that impact psychological well-being. The purpose of this study was to examine the relationships between distress, risk perception, emotional representations, preventive COVID-19 infection behaviors, COVID-19 traumatic stress, posttraumatic growth, and psychological well-being, taking also into consideration sociodemographic variables as well as the moderator role of posttraumatic growth in the relationship between traumatic stress and psychological well-being. Material and methods: A cross-sectional design was used. Data were collected during the lockdown, in Portugal, from January to March 2021. The sample included 220 men who answered the questionnaires online. Results: Anxiety and depression symptoms (distress), traumatic stress, and emotional representations were negatively associated with psychological well-being. Older men, professionally active men, and men not in teleworking reported greater psychological well-being. The ﬁndings also showed that less emotional representations, less traumatic stress, and lower levels of distress contributed to greater psychological well-being. Finally, posttraumatic growth played a moderating role in the relationship between traumatic stress and psychological well-being. Conclusion: Interventions and further studies must consider the buffering role of posttraumatic growth during the COVID-19 pandemic and focus on helping men handle the associated traumatic stress in order to promote psychological well-being.
Thermophilic bacteria isolated from Mount Merapi, Java, Indonesia as a potential lead bioremediation agent

Abstract. Rakhmawati A, Wahyuni ET, Yuwono T. 2021. Thermophilic bacteria isolated from Mount Merapi, Java, Indonesia as a potential lead bioremediation agent. Biodiversitas 22: 3101-3110. Contamination by lead (Pb) has become a serious health and environmental problem, that has to be urgently prevented. Bioremediation is one of the environmentally friendly methods for eliminating Pb from the contaminated environment. This study was aimed to investigate the potency of lead-tolerant thermophilic bacteria isolated from solfatara Mount Merapi, Indonesia. A total of 340 isolates of thermophilic bacteria were screened for lead tolerance at 55 °C. Five bacterial isolates were found to show tolerance to 100 mg/L Pb (II), and then were further evaluated and identified as Aeribacillus pallidus strains MRP112, MRP148, MRP272, MRP278, and MRP280 based on 16S rRNA gene sequences analysis. Among the five isolates, A. pallidus MRP 280 showed highest activity in removing Pb at pH 6, 55°C for 24 h. The analysis of scanning and transmission electron microscopy, biofilm formation, and siderophore production, demonstrated that lead tolerance of A. pallidus MRP 280 strain was also accompanied by morphological changes, bioaccumulation, biosorption, biofilm, and siderophore assembly. In conclusion A. pallidus MRP 280 was demonstrated as one of the most potential bacterial strains, can be recommended as an agent for high-temperature lead bioremediation.
Incorporating Differential Privacy Techniques into Neural Networks

Differential privacy is a formalism that allows us to quantify privacy. Techniques that employ differential privacy ensure the that we can compute useful statistics about an entire dataset with minimal risk that an individual can be identiﬁed. In a machine learning context, information about individual training examples may exist in the model parameters, and clever analysis of the model will expose this information. By using differentially private techniques during the training process, we can bound the amount of personally identiﬁable information that can leak from our model.
The 100 most-cited articles in castration-resistant prostate cancer: a bibliometric analysis

Purpose: To assess the present landscape and future research directions, a bibliometric analysis was performed to identify the characteristics of the 100 most-cited articles (T100 articles) on CRPC research. Methods: A list of the T100 articles investigating CRPC was generated by searching the Web of Science (WoS) Core Collection database. Different characteristics of the T100 articles, including the countries/territories, journals, authors, and research areas, were analyzed. Results: The number of citations of T100 articles published between 1992 and 2017 ranged from 282 to 3594, with an average of 654.9 citations. According to the topic of the article, ''Mechanisms related to tumor progression or metastasis'' ranked ﬁrst with 41 T100 articles, while immunotherapy ranked fourth with 7 T100 articles. The T100 articles originated from 31 countries, with more than half originating from the USA (n = 89). Professor Scher HI published the most T100 articles as the ﬁrst author (4) and as the corresponding author (5), while Pro De Bono JS from the Institute of Cancer Research published 3 articles as the ﬁrst author and 8 articles as the corresponding author. The journal Cancer Research published 20 T100 articles with a total of 8946 citations. The number of T100 articles(r = 0.485, P = 0.01) and the total number of citations(r = 0.626, P < 0.001) were all positively correlated with the IF of the journal. Conclusions: This analysis offers a historical perspective on the progress and attempts to reveal future trends in CRPC research using bibliometric analysis. This study's results suggest that immunotherapy and the study of androgen receptors as well as their signaling axes will possibly be hot topics and trends in CRPC research.
Variability in macrozoobenthic assemblages along a gradient of environmental conditions in the stream water of karst caves (Lower Shakuranskaya Cave, western Caucasus)

The fauna of the stream water in the Lower Shakuranskaya Cave in central Abkhazia, western Caucasus, was studied. This cave has a large inlet and an extended entrance ecotone area of approximately 60 m, which makes it a convenient area for studying macrozoobenthic assemblages across a gradient of environmental factors. The cave has 13 species of stygobionts, 10 species of stygophiles and 18 species of stygoxenes. The number of species and the abundance and biomass of stygobionts per station were the highest near the boundary of the photic zone, at a distance of 50–60 m from the entrance to the cave, and gradually decreased toward both the remote parts of the cavity and the cave exit. The most abundant stygobionts were gastropod mollusks of the Hydrobiidae family, and Xiphocaridinella shrimp comprised the main part of the biomass. It has been shown that the main environmental factors determining the distribution of macrozoobenthos are luminosity and distance from the entrance to a cave. According to the differences in their reactions to these environmental factors, several groups of species were identified. In addition, three main assemblages of macrozoobenthic species were described: (1) an assemblage of epigean species near the cave entrance area; (2) stygobionts in remote parts of the cave outside the photic zone; and (3) a mixed assemblage in the cave ecotone, where a faint light penetrates. The specific details related to the faunal structure in the ecotone of the cave are discussed, as well as active and passive methods by which stygoxenes invade underground cavities. Subterranean Biology 39: 107–127 (2021) doi: 10.3897/subtbiol.39. 65733 https://subtbiol.pensoft. net Copyright Rostislav R. Borisov et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. RESEARCH ARTICLE Subterranean Biology Published by The International Society for Subterranean Biology A peer-reviewed open-access journal