Miracle-dz/UniFAR-FTUs huggingface dataset:
Community gardens in urban areas: a critical reflection on the extent to which they strenghten social cohesion and provide alternative food

Grow your own is emerging as a trendy urban activity. Becoming involved in ‘farming’ inside the city is framed in the media, on the Internet and in policy discourse as an emergent food movement. In this article we look at food provisioning practices inside cities and situate these in the literature on Alternative Food Networks (AFNs), responding to two of Treager’s main critiques. We use the concept of ‘food provisioning practices’ to overcome the critique of producer–consumer dichotomy since the concept treats people holistically as people undertaking activities. Rather than assuming that involvement in AFNs does or should represent a radical political act for any of its participants, we disentangle the multiple beliefs and motivations – including the most mundane – of the actors involved in two cases. We find that, because people are required to be actively involved in the production of their food, participants of both cases are neither only producers nor only consumers; they are both. The gardens show a ‘sliding scale of producership’. Our research also shows that, although reflexive motivations are present, many participants are unwilling to frame their involvement as political, nor do all participants see themselves as part of a movement. Hence, although personal choices may become political, we have to be careful not to ascribe attributes to participants that they themselves do not formulate. Moreover, we found that mundane motivations are important as well, and that political articulations do not predict actual involvement perfectly. This means therefore, unlike what Watts et al. argue, that reflexivity is not necessarily connected to the strength of the network. This chapter was published as: Veen, E.J., P. Derkzen and J.S. C. Wiskerke (2012). Motivations, Reflexivity and Food Provisioning in Alternative Food Networks: Case Studies in Two Mediumsized Towns in the Netherlands. International Journal of Sociology of Agriculture and Food 19 (3): 365-382.
The Expression of Terms in Language and in Translation

Introduction: The study presents confirmatory research on the linkage between expression of terms and language and translation. Therefore, the relationship of the mentioned facets has been presented in the study. Different literatures have proved that terms whenever expressed impact significantly on the proficiency of the EFL learners in terms of language and translation. Method: A quasi experimental design was sought in the study with the participants invited to participate in the longitudinal survey. The questionnaire was uploaded in the Qualtrics platform for the access of the participants. SPSS program was used to generate statistics and testing of the hypotheses. Results/Discussions: A significant relationship between terms and language and translation was confirmed. Terms impact positively on language and translation capacities of the EFL learners. However, the relationship was termed non-absolute meaning not all aspects of the expression of terms enhance language and translation proficiencies. Conclusion: Overall, the research supports the need for EFL learners to be subjected to a supportive learning environment to boost their emotions. The situation would enhance their proficiencies in language and translation capacities.
Multipoint relaying : An e cient technique for ooding in mobile wireless networks

In this paper we discuss the mechanism of multipoint relays (MPRs) to e ciently do the ooding of broadcast messages in the mobile wireless networks. Multipoint relaying is a technique to reduce the number of redundant retransmissions while di using a broadcast message in the network. We discuss the principle and the functioning of MPRs, and propose a heuristic to select these MPRs in a mobile wireless environment. We also analyze the complexity of this heuristic and prove that the computation of a multipoint relay set with minimal size is NP-complete. Finally, we present some simulation results to show the e ciency of multipoint relays. Key-words: multipoint relays, mobile wireless networks, ooding of broadcast messages
HadaFS: A File System Bridging the Local and Shared Burst Buffer for Exascale Supercomputers

Current supercomputers introduce SSDs to form a Burst Buffer (BB) layer to meet the HPC application’s growing I/O requirements. BBs can be divided into two types by deployment location. One is the local BB, which is known for its scalability and performance. The other is the shared BB, which has the advantage of data sharing and deployment costs. How to unify the advantages of the local BB and the shared BB is a key issue in the HPC community. We propose a novel BB file system named HadaFS that provides the advantages of local BB deployments to shared BB deployments. First, HadaFS offers a new Localized Triage Architecture (LTA) to solve the problem of ultra-scale expansion and data sharing. Then, HadaFS proposes a full-path indexing approach with three metadata synchronization strategies to solve the problem of complex metadata management of traditional file systems and mismatch with the application I/O behaviors. Moreover, HadaFS integrates a data management tool named Hadash, which supports efficient data query in the BB and accelerates data migration between the BB and traditional HPC storage. HadaFS has been deployed on the Sunway New-generation Supercomputer (SNS), serving hundreds of applications and supporting a maximum of 600,000-client scaling.
Embedded Deformation-based Compression for Human 3D Dynamic Meshes with Changing Topology

3D dynamic meshes offer significant potential in various applications, but their usage is still limited by their large file size. We present a novel method that can compress 3D human dynamic meshes effectively by using embedded deformation to extract the underlying transformations of consecutive frames. We target 3D dynamic meshes with changing connectivity which are more versatile compared to traditional mesh animation but also more challenging. To further reduce the transmission size, we propose a novel optimization-based technique to determine a sparse set of key nodes capable of transmitting the transformations efficiently.
Output Sensitivity-Aware DETR Quantization

DEtection TRansformer (DETR), the first attempt to utilize transformer in an end-to-end object detection pipeline, achieves promising performance. However, the large model size hinders its deployment to practical applications such as autonomous driving. In this work, we explore a method for post-training mixed-precision quantization of a pretrained DETR model. Specifically, we find previously proposed loss-based sensitivity analysis unsuitable for the DETR model due to the natural roughness of its loss caused by the Hungarian matching process. Thus, we propose a novel distillation-based output sensitivity analysis framework, and evaluate layer sensitivity of an uniformly-quantized DETR model. The proposed technique leads to a mean average precision (mAP) of 40.9%, 36.4%, and 25.9% for, correspondingly, 6-bit, 5-bit and 4-bit quantized DETR models on the MS-COCO dataset. This outperforms the conventional uniform quantization method by 1.1%, 1.3% and 5.2%, respectively.
Journal of Network and Computer Applications

Fog computing is an emerging paradigm that aims to meet the increasing computation demands arising from the billions of devices connected to the Internet. Offloading services of an application from the Cloud to the edge of the network can improve the overall latency of the application since it can process data closer to user devices. Diverse Fog nodes ranging from Wi-Fi routers to mini-clouds with varying resource capabilities makes it challenging to determine which services of an application need to be offloaded. In this paper, a context-aware mechanism for distributing applications across the Cloud and the Fog is proposed. The mechanism dynamically generates (re)deployment plans for the application to maximise the performance efficiency of the application by taking operational conditions, such as hardware utilisation and network state, and running costs into account. The mechanism relies on deep Q-networks to generate a distribution plan without prior knowledge of the available resources on the Fog node, the network condition, and the application. The feasibility of the proposed context-aware distribution mechanism is demonstrated on two use-cases, namely a face detection application and a location-based mobile game. The benefits are increased utility of dynamic distribution by 50% and 20% for the two use-cases respectively when compared to a static distribution approach used in existing research.
Healthcare staff perceptions of integrated care in a programme for complex chronic patients admitted to hospital because of heart failure (ProMIC)

Introduction Patients with heart failure are usually a frail population characterised by complex care needs. To ensure an integrated care approach, it is necessary to work collaboratively across organisational boundaries. The purpose of this study is to measure and understand the perception of collaboration between clinicians participating in a comprehensive care programme for patients with heart failure, known as PROMIC. Methods A sequential mixed-method study design was used. A sample of PROMIC clinicians completed a survey in which they evaluated 10 dimensions of collaboration in 2010 and in 2014. The perspectives of clinicians were studied more in depth in a focus group in 2012, which was analysed using content analysis. Outcomes: Professionals’ perception of collaboration showed an improvement by 1.18 points (53%) over the period 2010–14. The comprehensive programme proved to be of major support to the professionals. Sometimes, the study participants did not feel prepared to manage cases due to the complexity of the situations with regard to patients’ care. Both, the quantitative and the qualitative methods, showed up a congruent information about the positive perception of participants of the programme itself and the collaboration. Discussion The complexity of care processes and the need for continuity of care mean that large-scale collaboration is necessary between care levels as well as major interdisciplinary teamwork, to achieve the best possible outcomes in terms of health. ProMIC intervention has helped to improve professionals’ perception in terms of collaboration between levels.
First-Time Investigation of Bombax ceiba Stem Crude Extract’s Role for Autoclave-assisted Silver Nanoparticle Synthesis from Silver Sulphate and Silver Nitrate: Multifaceted Characterization, Catalytic and Antibacterial Investigations

: The Bombax ceiba plant stem extract is selected for the first time in synthesis of silver nanoparticles from silver sulphate and silver nitrate. The pH 6.5 and autoclave conditions facilitated the synthesis of low sized stable SBAN-AgNP and SBAS-AgNP in presence of 3% and 2% v/v SB (Stem extract of Bombax ) from silver nitrate (AN) and silver sulphate (AS) at 0.6 and 0.4mM concentrations respectively. The formation and characterization of nanoparticles are performed by employing UV-Vis spec, XRD, FTIR, DLS and FESEM-EDS. These studies revealed that the nanoparticles are crystalline in nature with capping of functional groups from plant crude extract. The FESEM results ensured that the nanoparticles formed are spherical in shape with average particle size of obtained using silver nitrate (SBAN-AgNP) and silver sulphate (SBAS-AgNP) salts are 20.6 nm and 19.4 nm respectively. Both the SBAN-AgNP and SBAS-AgNP showed 94.6% and 87.3% catalytic reduction efficiency of 4-nitrophenol within 11 and 12 mins and are completely eliminated the synthetic dye methylene blue from water in presence of NaBH 4 as reducing agent within 10 and 12 mins respectively. The synthesized SBAS-AgNP showed significant MIC, MBC, anti-biofilm and TKK activities with 31.27 ± 2.04 µg/ml MIC value against Bacillus megaterium .
Genomics and its implementation in dairy cattle selection and management

In the past three years, tens of thousands of North American dairy cattle have been genotyped using the Illumina BovineSNP50 BeadChip, and alternative high-density and low-density genotyping chips have recently become available. These technologies became possible due to sequencing of the bovine genome and were developed via collaboration between Illumina Inc., the USDA Agricultural Research Service, the National Association of Animal Breeders, and other commercial and academic partners. A key breakthrough is the ability to carry out thousands of DNA marker tests simultaneously, for a cost of less than ½ ¢ per marker. Single nucleotide polymorphism (SNP) markers represent base changes (A, T, C, or G) within the DNA sequence of a cow or bull – a sequence that consists of approximately three billion base pairs distributed over 30 pairs of chromosomes. These SNP markers can be genotyped in an efficient and automated manner, in contrast to the labor-intensive genotyping methods that were used previously. Another key breakthrough is the finding that, once a large number of genetic markers become available for an individual animal, it is possible to estimate that animal’s breeding value based on associations between marker genotypes and milk yield, somatic cell score, productive life, daughter pregnancy rate, and other key traits that were observed in other animals of the same breed. The most important animals in this process are the dairy bulls represented in the Cooperative Dairy DNA Repository, which was formed more than 15 years ago, when ABS Global, Accelerated Genetics, Alta Genetics, Genex Cooperative, Select Sires, Semex, and Taurus Service began storing semen samples from young bulls entering their progeny testing programs for the purpose of genetic research.
Debunking Debunking: Explanationism, Probabilistic Sensitivity, and Why There is No Specifically Metacognitive Debunking Principle

On explanationist accounts of genealogical debunking, roughly, a belief is debunked when its explanation is not suitably related to its content. We argue that explanationism cannot accommodate cases in which beliefs are explained by factors unrelated to their contents but are nonetheless independently justified. Justification-specific versions of explanationism face an iteration of the problem. The best account of debunking is a probabilistic account according to which subject S ’s justification J for their belief that P is debunked when S learns that J is no more likely to be true on the hypothesis that P than on the hypothesis that ¬ P . The probabilistic criterion is fully general, applying not only to cases where the learned undercutting defeater is a proposition about our beliefs or other mental states but to any case of undercutting defeat, providing the grounds for a debunking argument against the existence of a special, metacognitive debunking principle.
ISBE Evolution of elaborate parental care: phenotypic and genetic correlations between parent and offspring traits

The evolution of elaborate forms of parental care is an important topic in behavioral ecology, yet the factors shaping the evolution of complex suites of parental and offspring traits are poorly understood. Here, we use a multivariate quantitative genetic approach to study phenotypic and genetic correlations between parental and offspring traits in the burying beetle Nicrophorus vespilloides . To this end, we recorded 2 prenatal traits (clutch size and egg size), 2 postnatal parental behaviors (direct care directed toward larvae and indirect care directed toward resource maintenance), 1 offspring behavior (begging), and 2 measures of breeding success (lar-val dispersal mass and number of dispersing larvae). Females breeding on larger carcasses provided less direct care but produced larger larvae than females breeding on smaller carcasses. Furthermore, there were positive phenotypic correlations between clutch size, direct, and indirect care. Both egg size and direct care were positively correlated with dispersal mass, whereas clutch size was negatively correlated with dispersal mass. Clutch size and number of dispersed larvae showed genetic variance both in terms of differences between populations of origin and significant heritabilities. However, we found no evidence of genetic variance underlying other parental or offspring traits. Our results suggest that correlations between suites of parental traits are driven by variation in individual quality rather than trade-offs, that some parental traits promote offspring growth while others increase the number of offspring produced, and that parental and offspring traits might respond slowly to selection due to low levels of additive genetic variance.
Proteomic-based strati ﬁ cation of intermediate-risk prostate cancer patients

Gleason grading is an important prognostic indicator for prostate adenocarcinoma and is crucial for patient treatment decisions. However, intermediate-risk patients diagnosed in the Gleason grade group (GG) 2 and GG3 can harbour either aggressive or non-aggressive disease, resulting in under-or overtreatment of a signi ﬁ cant number of patients. Here, we performed proteomic, differential expression, machine learning, and survival analyses for 1,348 matched tumour and benign sample runs from 278 patients. Three proteins (F5, TMEM126B, and EARS2) were iden-ti ﬁ ed as candidate biomarkers in patients with biochemical recurrence. Multivariate Cox regression yielded 18 proteins, from which a risk score was constructed to dichotomize prostate cancer patients into low-and high-risk groups. This 18-protein signature is prognostic for the risk of biochemical recurrence and completely independent of the intermediate GG. Our results suggest that markers generated by computational proteomic pro ﬁ ling have the potential for clinical applications including integration into prostate cancer management.
The potential role of temporal dynamics in approach biases Delay-dependence of a general approach bias in an alcohol approach-avoidance task

Attractive cues have been shown to evoke automatic approach biases in tasks such as the Automatic Approach Task or Stimulus Response Compatibility task. An important but as yet not studied question is the role of temporal dynamics in such tasks: the impact of automatic processes may depend on the interval between cue and response.The current proof of principle study tested this hypothesized time-dependence of the approach bias. Secondary goals included the exploration of effects of alcohol cues and virtual hand stimuli. 22 participants performed an SRC task in which the delay between the presentation of the cue and the possibility to select the response was manipulated. Results revealed an approach bias that decayed over longer delays. Thus, the approach bias was indeed dependent on processes that are transiently evoked by cues. The results did not show signiﬁcant effects of alcohol cues or a virtual hand.Temporal dynamics may be an essential feature of approach biases.
Computer Vision-Based Multi-Class Classification of Garments Using a Three-Level Hierarchical Approach

Manually collecting and measuring garment data can be a complex and time-consuming process, including garment classification, which can be a difficult task even for humans. Computer vision algorithms can be trained to classify clothes by analysing large amounts of data and identifying patterns and features specific to each class. A 3-level hierarchical garment classification model has been proposed in the paper, which classifies garments into 3, 8 and 21 classes. The model has been tested with three deep learning architectures LeNet5, AlexNet and sequential CNN model. The results obtained show that the hierarchical approach has the greatest advantage when classifying garments into three and eight classes, and allows an improvement of up to 28%
On the rigidity of stable maps to Calabi-Yau threefolds

In 1998, Gopakumar and Vafa [5] proposed a duality between SU(N) Chern–Simonstheory on the 3–sphere and topological string theory on the resolved conifold. Asevidence, Gopakumar and Vafa showed the large–N free energy in Chern–Simonstheory exactly matches (after a change of variables) the topological string partitionfunction on the resolved conifold.Mathematically, the topological string partition function is just the natural generatingfunction for the Gromov–Witten invariants. The resolved conifold is the total space ofthe bundle O
Assessment of Environmental Factors Associated with Antibiotic Resistance Genes (ARGs) in the Yangtze Delta, China

The emergence of antimicrobial resistance (AMR) is an urgent and complex public health challenge worldwide. As a sub-problem of AMR, antibacterial resistance (ABR) is of particular concern due to inadequacy of alternative medication. Earlier studies have shown that ABR is not only impacted by antibiotics, but also affected by the interactions between bacteria and their environments. Therefore, to combat ABR in a specific region, local environmental conditions must be investigated to comprehensively understand which environmental factors might contribute to ABR and propose more tailored solutions. This study surveyed environmental contributors of antibiotic resistance genes (ARGs), the parameter for measuring ABR, in the Yangtze Delta. A high abundance of ARGs was detected, despite low antibiotic and heavy metal concentrations. Phosphorus, chromium, manganese, calcium, and strontium were identified as potential key contributors of ARGs. Suppression of ARGs could be realized through decreasing the concentration of phosphorus in surface water. Group 2A light metals (e.g., magnesium and calcium) could be developed as eco-friendly reagents for controlling antibiotic resistance in the future.
REVIEW Experimental Models of In ﬂ ammatory Bowel Diseases

SUMMARY Experimental models of in ﬂ ammatory bowel diseases have provided valuable insights into the complex mechanisms operative in the development and pathogenesis of these diseases. This review describes widely used models and how they help us understand the immunology of intestinal in ﬂ ammation. The understanding of the intestinal in ﬂ ammation occurring in the in ﬂ ammatory bowel diseases (IBD) has been immeasurably advanced by the development of the now numerous murine models of intestinal in ﬂ ammation. The usefulness of this research tool in IBD studies has been enabled by our improved knowledge of mucosal immunity and thus our improved ability to interpret the complex responses of mice with various causes of colitis; in addition, it has been powered by the availability of models in which the mice have speci ﬁ c genetic and/or immunologic defects that can be related to the origin of the in ﬂ ammation. Finally, and more recently, it has been enhanced by our newly acquired ability to de ﬁ ne the intestinal micro-biome under various conditions and thus to understand how intestinal microorganisms impact on in ﬂ ammation. In this brief review of murine models of intestinal in ﬂ am-mation, we focus mainly on the most often used models that are, not incidentally, also the models that have yielded major insights into IBD pathogenesis. (