Miracle-dz/UniFAR-FTUs huggingface dataset:
Literature review on fermentation factors of restaurant organic waste affecting feed quality

The high level of public consumption, balanced with the increasingly dense population globally, makes food waste more and more. Food waste is the second-largest contributor to waste in the world. Moreover, the lack of food waste management makes this condition even worse. This food waste can be found, one of which is in restaurants, school canteens, food courts, and others. Fermentation is the process of breaking down complex substances into simpler ones. A fermentation process can help process food waste into various products such as liquid organic fertilizer, compost, biogas, and raw material for fish feed. Through the fermentation process, food waste can be used as an alternative fish feed with high nutritional content to benefit fish cultivators. Fish need many nutrients for their bodies, with food waste that has been processed will meet the dietary needs of fish. The cultivators will benefit more from the cost of feed and the sale of fish that can meet consumer needs.Moreover, the demand for the fish market is increasing every year. Several factors play a role in the success of the food waste fermentation process and the quality of the resulting product to be converted into fish feed raw materials. These factors include incubation time, pH acidity, and microbial factors that can accelerate the spoilage of fish feed raw materials.Keywords:Fermentation,Restaurant wasteFish feedFactorsQuality of feed IngredientsLiterature review on fermentation factors of restaurant organic waste affecting feed quality
OPTIMISED REACTIVE POWER DISPATCH TO INCREASE NETWORK'S ELECTRIC VEHICLE HOSTING CAPACITY

The transition towards net zero 2050 has begun. As a result, distribution networks are seeing and expecting an increased amount of low carbon technologies (LCTs) connected within distribution networks. Increasing numbers of LCTs connected in distribution networks results in new constraints on the distribution systems that traditionally would have resulted in the installation of more network infrastructure. This project investigated an alternative approach to optimise the reactive power dispatch of existing generators to increase the network's hosting capacity for new LCT connections. This paper presents a potential flexible reactive power service using an optimisation algorithm to determine the reactive power dispatch to increase load headroom, reduce network losses and manage network constraints. Analysis was undertaken using the optimisation algorithm for a range of operating conditions across 3 different Bulk Supply Point (BSP) networks. The results demonstrate that with optimised reactive power dispatch the networks provided headroom for the equivalent of 10,000 additional Electric Vehicles (EVs) connected across the 3 BSP networks. The flexible use of reactive power within distribution networks has the potential to form a key component of the transition to net zero 2050.
Human-Centered Recommender Systems: Origins, Advances, Challenges, and Opportunities

From the earliest days of the field, Recommender Systems research and practice has struggled to balance and integrate approaches that focus on recommendation as a machine learning or missing-value problem with ones that focus on machine learning as a discovery tool and perhaps persuasion platform. In this article, we review 25 years of recommender systems research from a human-centered perspective, looking at the interface and algorithm studies that advanced our understanding of how system designs can be tailored to users objectives and needs. At the same time, we show how external factors, including commercialization and technology developments, have shaped research on human-centered recommender systems. We show how several unifying frameworks have helped developers and researchers alike incorporate thinking about user experience and human decision-making into their designs. We then review the challenges, and the opportunities, in today’s recommenders, looking at how deep learning and optimization techniques can integrate with both interface designs and human performance statistics to improve recommender effectiveness and usefulness
Dual-Polarized Reconfigurable Metasurface for Multifunctional Control of Electromagnetic Waves

This article presents a reconfigurable multifunctional metasurface (RMM) with independent control of orthogonally polarized waves. Each meta-atom of RMM has four varactor diodes (two sets of orthogonal parallel diodes) connected and voltage biased. The voltage difference of the two sets of parallel varactor diodes is a constant. Thus, the orthogonally polarized reflected wave can be tuned independently. Unlike in other reported voltage-controlled RMMs, in the developed RMM, biasing voltages can be applied in one direction only. A tunable range from 7.2 to 7.8 GHz can be achieved. Two functionalities of the proposed RMM, namely, beam steering and polarization conversion, are demonstrated numerically and experimentally. Beam steering can be independently achieved in the ${x}-/y$ -directions when the incident plane wave is an $x-/y$ -polarized plane wave. For an arbitrary linear polarized incident plane wave, the decomposed orthogonally polarized waves can also be reflected toward two predefined directions based on the dual-polarized independent tunability of the proposed design. As for polarization conversion, the reflected waves can be flexibly switched among linear-to-orthogonal (LP-to-XP), linear-to-circular, and linear-to-elliptical polarizations in the operating frequencies depending on the phase requirement. The polarization conversion ratio is up to 90% for LP-to-XP polarization and the axial ratio is smaller than 3 dB for linear-to-circular polarizations.
Effect of Carbon Nanofiber Clustering on the Micromechanical Properties of a Cement Paste

The use of carbon nanofibers (CNFs) in cement systems has received significant interest over the last decade due to their nanoscale reinforcing potential. However, despite many reports on the formation of localized CNF clusters, their effect on the cement paste micromechanical properties and relation to the mechanical response at the macroscopic scale are still not fully understood. In this study, grid nanoindentation coupled with scanning electron microscopy and energy dispersive spectroscopy was used to determine the local elastic indentation modulus and hardness of a portland cement paste containing 0.2% CNFs with sub-micro and microscale CNF clusters. The presence of low stiffness and porous assemblage of phases (modulus of 15–25 GPa) was identified in the cement paste with CNFs and was attributed primarily to the interfacial zone surrounding the CNF clusters. The CNFs favored the formation of higher modulus C–S–H phases (>30 GPa) in the bulk paste at the expense of the lower stiffness C–S–H. Nanoindentation results combined with a microscale–macroscale upscaling homogenization method further revealed an elastic modulus of the CNF clusters in the range from 18 to 21 GPa, indicating that the CNF clusters acted as compliant inclusions relative to the cement paste.
Neutralizing Activity and SARS-CoV-2 Vaccine mRNA Persistence in Serum and Breastmilk After BNT162b2 Vaccination in Lactating Women

Background There is limited information on the functional neutralizing capabilities of breastmilk SARS-CoV-2-specific antibodies and the potential adulteration of breastmilk with vaccine mRNA after SARS-CoV-2 mRNA vaccination. Methods We conducted a prospective cohort study of lactating healthcare workers who received the BNT162b2 vaccine and their infants. The presence of SARS-CoV-2 neutralizing antibodies, antibody isotypes (IgG, IgA, IgM) and intact mRNA in serum and breastmilk was evaluated at multiple time points using a surrogate neutralizing assay, ELISA, and PCR, over a 6 week period of the two-dose vaccination given 21 days apart. Results Thirty-five lactating mothers, median age 34 years (IQR 32-36), were included. All had detectable neutralizing antibodies in the serum immediately before dose 2, with significant increase in neutralizing antibody levels 7 days after this dose [median 168.4 IU/ml (IQR 100.7-288.5) compared to 2753.0 IU/ml (IQR 1627.0-4712.0), p <0.001]. Through the two vaccine doses, all mothers had detectable IgG1, IgA and IgM isotypes in their serum, with a notable increase in all three antibody isotypes after dose 2, especially IgG1 levels. Neutralizing antibodies were detected in majority of breastmilk samples a week after dose 2 [median 13.4 IU/ml (IQR 7.0-28.7)], with persistence of these antibodies up to 3 weeks after. Post the second vaccine dose, all (35/35, 100%) mothers had detectable breastmilk SARS-CoV-2 spike RBD-specific IgG1 and IgA antibody and 32/35 (88.6%) mothers with IgM. Transient, low intact vaccine mRNA levels was detected in 20/74 (27%) serum samples from 21 mothers, and 5/309 (2%) breastmilk samples from 4 mothers within 1 weeks of vaccine dose. Five infants, median age 8 months (IQR 7-16), were also recruited - none had detectable neutralizing antibodies or vaccine mRNA in their serum. Conclusion Majority of lactating mothers had detectable SARS-CoV-2 antibody isotypes and neutralizing antibodies in serum and breastmilk, especially after dose 2 of BNT162b2 vaccination. Transient, low levels of vaccine mRNA were detected in the serum of vaccinated mothers with occasional transfer to their breastmilk, but we did not detect evidence of infant sensitization. Importantly, the presence of breastmilk neutralising antibodies likely provides a foundation for passive immunisation of the breastmilk-fed infant.
Safety Control for Quadrotor UAV Against Ground Effect and Blade Damage

This article proposes a safety control scheme for quadrotor unmanned aerial vehicle (UAV) to counteract ground effect and blade damage. The impacts of ground effect and blade damage are quantitatively analyzed in the established model. The proposed safety control scheme consists of position and attitude loops. Specifically, a proportional and derivative controller is designed as a baseline control with acceleration feedforward in the position loop. A disturbance observer (DO) using the measured Euler angles is exploited to estimate the lumped disturbance forces. The developed DO can effectively mitigate the estimation deviation caused by the angle tracking error. Subsequently, differential flatness theory is used to obtain the Euler angle references and the derivatives. In the attitude loop, sliding mode control and fixed-time sliding mode observer (SMO) are integrated to deal with ground effect and blade damage promptly. To demonstrate the effectiveness of the proposed safety control scheme, flight experiments are carried out, where the quadrotor UAV flies close to the rugged ground in the presence of blade damage.
Vertical Integration of Digital Platforms in the Agricultural Industry

Vertical integration is a strategic option for a company that aims to have direct control over its value chain. With regards to digital platforms, vertical integration as a strategy is, to an extent, paradoxical, since platforms’ operating models are largely based on external actors with whom the platform owners have only an arm’s-length relationship. Many large digital platform companies have pursued vertical integration and research has been conducted on the subject, yet it is often industry-agnostic and focuses on large digital platform companies. We sought to identify the vertical integration strategies of digital platforms in the agricultural industry, as well as understand the firm-and industry-level drivers behind them. The results showed that these drivers impact vertical integration of digital platforms, which occurs along the value chain of a platform’s user groups and not solely along that of the platform. Furthermore, digitalization and data open new avenues for vertical integration.
Determination of Mercury, Methylmercury and Selenium Concentrations in Elasmobranch Meat: Fish Consumption Safety

This study measures total mercury (THg), methylmercury (MeHg) and selenium (Se) concentrations in elasmobranch fish from an Italian market with the aim of evaluating the risk-benefit associated with their consumption, using estimated weekly intake (EWI), permissible safety level (MeHgPSL), selenium health benefit value (HBVSe) and monthly consumption rate limit (CRmm) for each species. THg and Se were analysed by atomic absorption spectrometry, while MeHg was determined by HrGc/Ms. THg and MeHg concentrations ranged from 0.61 to 1.25 μg g−1 w.w. and from 0.57 to 0.97 μg g−1 w.w. , respectively, whereas Se levels were 0.49–0.65 μg g−1 w.w. In most samples European Community limits for THg were surpassed, while for MeHg none of the fish had levels above the limit adopted by FAO/WHO. EWIs for THg and MeHg in many cases were above the provisional tolerable weekly intakes (PTWIs). MeHgPSL estimate showed that fish should contain approximately 50% of the concentration measured to avoid exceeding the PTWI. Nevertheless, the HBVSe index indicated that solely skates were safe for human consumption (HBVSe = 3.57–6.22). Our results highlight the importance of a constant monitoring of THg and MeHg level in fish, especially in apex predators, to avoid the risk of overexposure for consumers.
Overview of Hybrid Tracking in Augmented Reality

Hybrid tracking is one of the most important key technologies having received rapid development over the past twenty years in the field of augmented reality (AR). It is an effective approach to realize head-pose tracking with high accuracy and strong robustness for AR application systems. This paper tries to provide a complete and comprehensive survey on hybrid tracking technology. Three important issues involved in hybrid trackers are described in detail, including hybrid tracking method, calibration, and time synchronization. The state-of-the-art applications of different hybrid trackers are introduced. The pending problems and development tendency of hybrid tracking technology are discussed, and finally the application prospect is reviewed.
Effect of Parent and Teacher Relatedness Support on Academic Motivation of Middle School Children

Abstract Based on self-determination theory framework, this study examined (a) individual effects of teacher relatedness support and parent relatedness support and (b) the additive and interaction effect of these supports on academic motivation of middle school students. Using linear, stepwise, and hierarchical regression, results exhibited presence of significant individual, additive, and interaction effects between the variables. The results may be helpful in creating awareness among parents and teachers regarding the importance of relatedness support in satisfying emotional needs of children and enhancing motivation.
Computing Different Realizations of Linear Dynamical Systems with Embedding Eigenvalue Assignment

In this paper we investigate realizability of discrete time linear dynamical systems (LDSs) in fixed state space dimension. We examine whether there exist different Θ = (A,B,C,D) state space realizations of a given Markov parameter sequence Y with fixed B, C and D state space realization matrices. Full observation is assumed in terms of the invertibility of output mapping matrix C. We prove that the set of feasible state transition matrices associated to a Markov parameter sequence Y is convex, provided that the state space realization matrices B, C and D are known and fixed. Under the same conditions we also show that the set of feasible Metzler-type state transition matrices forms a convex subset. Regarding the set of Metzler-type state transition matrices we prove the existence of a structurally unique realization having maximal number of non-zero off-diagonal entries. Using an eigenvalue assignment procedure we propose linear programming based algorithms capable of computing different state space realizations. By using the convexity of the feasible set of Metzler-type state transition matrices and results from the theory of non-negative polynomial systems, we provide algorithms to determine structurally different realization. Computational examples are provided to illustrate structural non-uniqueness of network-based LDSs.
Preoperative ultrasound mapping of the vagus nerve in thyroid surgery.

Background Intraoperative neuromonitoring (IONM) in thyroid surgery requires electric stimulation of the vagus nerve to verify correct electrode placement. Classically the nerve is found deep to or in-between the common carotid artery and internal jugular vein, but previous studies have shown that the nerve can sometimes be found superficial to the vessels. Our aim was to determine the incidence of a superficial vagus nerve using ultrasound (US) and study possible clinical factors associated with an anteriorly-located vagus nerve. Methods Retrospective study of patients undergoing thyroid surgery (lobectomy or total thyroidectomy) with intermittent IONM. Substernal goiters, locally invasive tumors or bulky lymph nodes were excluded. The vagus nerve was identified at the level of the mid-thyroid lobe on each side on preoperative US performed by two specialized radiologists, and its location according to 6 possible positions in relationship to the common carotid artery was recorded. The anatomic variability of the vagus nerve was analyzed in relationship to patient demographics and thyroid pathology. Results Five-hundred twenty-seven patients were included. The right vagus nerve (n=522) was in-between, superficial or deep to the vessels in 92.3%, 6.1% and 1.5% and of cases, respectively, and the left vagus (n=517) in 80.2%, 18.6% and 1.2% of cases, respectively, with a statistically significant difference between right and left vagus nerves (P<0.001). The type of pathology, size of the dominant nodule or the volume of the thyroid lobe were not correlated to finding a superficial vagus nerve. Conclusions The vagus nerve was identified in all cases on US and found to be anterior to common carotid artery at the level of the thyroid lobe in 18.6% of cases on the left and 6.1% of cases on the right. Identifying this anatomic variant preoperatively may facilitate IONM and avoid inadvertent trauma to the vagus nerve during thyroid surgery.
A single amino acid substitution in PB1 of pandemic H1N1 with A/Ann Arbor/6/60 master donor virus mutations as a novel live-attenuated influenza virus vaccine

Influenza A viruses (IAV) remain emerging threats to human public health. Live-attenuated influenza vaccines (LAIV) are one of the most effective prophylactic options to prevent disease caused by influenza infections. However, licensed LAIV remain restricted for use in 2- to 49-year old healthy and non-pregnant people. Therefore, development of LAIV with increased safety, immunogenicity, and protective efficacy is highly desired. The United States (U.S.) licensed LAIV is based on the master donor virus (MDV) A/Ann Arbor/6/60 H2N2 backbone, which was generated by adaptation of the virus to growth at low temperatures. Introducing the genetic signature of the U.S. MDV into the backbone of other IAV strains resulted in varying levels of attenuation. While the U.S. MDV mutations conferred an attenuated phenotype to other IAV strains, the same amino acid changes did not significantly attenuate the pandemic A/California/04/09 H1N1 (pH1N1) strain. To attenuate pH1N1, we replaced the conserved leucine at position 319 with glutamine (L319Q) in PB1 and analyzed the in vitro and in vivo properties of pH1N1 viruses containing either PB1 L319Q alone or in combination with the U.S. MDV mutations using two animal models of influenza infection and transmission, ferrets and guinea pigs. Our results demonstrated that L319Q substitution in the pH1N1 PB1 alone or in combination with the mutations of the U.S. MDV resulted in reduced pathogenicity (ferrets) and transmission (guinea pigs), and an enhanced temperature sensitive phenotype. These results demonstrate the feasibility of generating an attenuated MDV based on the backbone of a contemporary pH1N1 IAV strain. IMPORTANCE Vaccination represents the most effective strategy to reduce the impact of seasonal IAV infections. Although LAIV are superior in inducing protection and sterilizing immunity, they are not recommended for many individuals who are at high risk for severe disease. Thus, development of safer and more effective LAIV are needed. A concern with the current MDV used to generate the U.S. licensed LAIV is that it is based on a virus isolated in 1960. Moreover, mutations that confer the temperature sensitive, cold-adapted, and attenuated phenotype of the U.S. MDV resulted in low level of attenuation in the contemporary pandemic A/California/04/09 H1N1 (pH1N1). Here, we show that introduction of PB1 L319Q substitution, alone or in combination with the U.S. MDV mutations, resulted in pH1N1 attenuation. These findings support the development of a novel LAIV MDV based on a contemporary pH1N1 strain as a medical countermeasure against currently circulating H1N1 IAV.
Scoping Review of Oral Health-Related Birth Cohort Studies: Toward a Global Consortium

The multidisciplinary nature and long duration of birth cohort studies allow investigation of the relationship between general and oral health and indicate the most appropriate stages in life to intervene. To date, the worldwide distribution of oral health-related birth cohort studies (OHRBCSs) has not been mapped, and a synthesis of information on methodological characteristics and outcomes is not available. We mapped published literature on OHRBCSs, describing their oral health-related data and methodological aspects. A 3-step search strategy was adopted to identify published studies using PubMed, Embase, Web of Science, and OVID databases. Studies with baseline data collection during pregnancy or within the first year of life or linked future oral health data to exposures during either of these 2 life stages were included. Studies examining only mothers' oral health and specific populations were excluded. In total, 1,721 articles were suitable for initial screening of titles and abstracts, and 528 articles were included in the review, identifying 120 unique OHRBCSs from 34 countries in all continents. The review comprised literature from the mid-1940s to the 21st century. Fifty-four percent of the OHRBCSs started from 2000 onward, and 75% of the cohorts were from high-income and only 2 from low-income countries. The participation rate between the baseline and the last oral health follow-up varied between 7% and 93%. Ten cohorts that included interventions were mostly from 2000 and with fewer than 1,000 participants. Seven data-linkage cohorts focused mostly on upstream characteristics and biological aspects. The most frequent clinical assessment was dental caries, widely presented as decayed, missing, and filled teeth (DMFT/dmft). Periodontal conditions were primarily applied as isolated outcomes or as part of a classification system. Socioeconomic classification, ethnicity, and country- or language-specific assessment tools varied across countries. Harmonizing definitions will allow combining data from different studies, adding considerable strength to data analyses; this will be facilitated by forming a global consortium.