Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterising strategy use during the 3 performance of hippocampal-dependent tasks 4

20 Recalling the past, thinking about the future and navigating in the world are linked with a 21 brain structure called the hippocampus. Precisely how the hippocampus enables these critical 22 cognitive functions is still debated. The strategies people use to perform tasks associated with 23 these functions have been under-studied, and yet such information could augment our 24 understanding of the associated cognitive processes and neural substrates. Here, we devised 25 and deployed an in-depth protocol to examine the explicit strategies used by 217 participants 26 to perform four naturalistic tasks widely acknowledged to be hippocampal-dependent, 27 namely, those assessing scene imagination, autobiographical memory recall, future thinking 28 and spatial navigation. In addition, we also investigated strategy use for three laboratory-29 based memory tasks, one of which is held to be hippocampal-dependent – concrete verbal 30 paired associates – and two tasks which are likely hippocampal-independent – abstract verbal 31 paired associates and the dead or alive semantic memory test. We found that scene visual 32 imagery was the dominant strategy not only when mentally imagining scenes, but also during 33 autobiographical memory recall, when thinking about the future and during navigation. 34 Moreover, scene visual imagery strategies were used most frequently during the concrete 35 verbal paired associates task, whereas verbal strategies were most prevalent for the abstract 36 verbal paired associates task and the dead or alive semantic memory task. The ubiquity of 37 specifically scene visual imagery use across a range of tasks may attest to its, perhaps 38 underappreciated, importance in facilitating cognition, whilst also aligning with perspectives 39 that emphasise a key role for the hippocampus in constructing scene imagery. 40 41
SYNTHESIS OF MAGNETITE-MODIFIED NATURAL ZEOLITE USING COPRECIPITATION AND PHYSICAL MIXING TECHNIQUES

The synthesis of magnetite-modified natural zeolite has been carried out using two techniques, namely coprecipitation and physical mixing. The characteristics (crystallinity, pore characteristics, and recovery capabilities) of the resulting composites are compared. In addition, the effect of the Fe3O4 fraction (25.0% w/w, 33.3% w/w, and 50.0% w/w) on the composite characteristics was also evaluated. The results showed that the natural zeolite/Fe3O4 prepared using the coprecipitation technique showed better distribution of Fe3O4 than the physical mixing technique. It was observed that the natural zeolite's XRD peak intensity decreased as the Fe3O4 content increased. In accordance with the N2 adsorption-desorption isotherm, the pore spaces of the natural zeolite have been found to be filled by suspended Fe3O4 particles. Therefore, both natural zeolite/Fe3O4 prepared by coprecipitation and physical mixing had smaller pore diameters than washed natural zeolite. Then, in terms of recovery ability, natural zeolite/Fe3O4 prepared using the coprecipitation technique has greater recovery ability than natural zeolite/Fe3O4 prepared by physical mixing, with an increase in the Fe3O4 percentage typically enhancing the composite's recovery ability.
SELF-ORGANIZING MAP-BASED DISCOVERY AND VISUALIZATION OF HUMAN ENDOGENOUS RETROVIRAL SEQUENCE GROUPS

Electronic version of an article published as: Merja Oja, Göran O. Sperber, Jonas Blomberg, and Samuel Kaski. Selforganizing map-based discovery and visualization of human endogenous retroviral sequence groups. International Journal of Neural Systems, 15(3):163–179, 2005. [http://dx.doi. org/10.1142/S0129065705000177] c © 2005 World Scientific Publishing Company. Reprinted with permission. [http://www.worldscinet. com/ijns/ijns.shtml]
Acta Universitatis Upsaliensis Uppsala 2017

The role of anti-collagen type II antibodies in the pathogenesis and prognosis of rheumatoid arthritis VIVEK ANAND MANIVEL Abstract Manivel, V. A. 2017. The role of anti-collagen type II antibodies in the pathogenesis and prognosis of rheumatoid arthritis. Rheumatoid arthritis (RA) which affects 0.5-1% of the world population and is characterised by joint erosions and presence of the autoantibodies anti-citrullinated protein antibodies (ACPA) and rheumatoid factor. Collagen II (CII) is a joint-specific antigen and we have shown that antibodies against CII (anti-CII) are present in around 8% of RA patients. RA patients with anti-CII are characterized by acute RA onset with elevated CRP and early joint erosions at the time of RA onset. Polymorphonuclear granulocytes (PMN) and peripheral blood mononuclear cells (PBMC) are abundant in RA synovial fluids, where they can interact with anti-CII, thus forming immune complexes (IC) with CII. In my thesis I have shown that PMN upregulated the cell surface markers CD66b and CD11b and downregulated CD16 and CD32 after stimulation with anti-CII IC. These changes in CD66b and CD16 associated to joint erosions to a larger extent than did PBMC responses to anti-CII IC. PMN cocultured with PBMC and stimulated with anti-CII IC showed augmented chemokine production that was dependent on TLR4 and functionally active PMN enzymes. This mechanism can lead to accumulation of inflammatory cells in joints of RA patients who are anti-CII positive around the time of RA diagnosis, and may thus help explain the acute onset RA phenotype associated with anti-CII. In a large Swedish RA cohort, anti-CII associated with elevations in clinical and laboratory measures of disease activity at diagnosis and until 6 months, whereas ACPA associated with late inflammation. Anti-CII seropositive RA was associated with improvements in clinical measurements and was negatively associated with smoking in contrast to ACPA that was associated with worseneing of clinical symptoms and associated positively with smoking. Anti-CII levels associated to HLADRB1*03 and HLADRB1*01 whereas ACPA showed negative association to HLA-DRB1*03. In a Malaysian RA cohort anti-CII also associated to elevated CRP at the time of diagnosis. Anti-CII seropositive RA represents a distinct phenotype, in many respects representing the converse to the clinical, genetic and smoking associations described for ACPA. Early determinations of anti-CII in parallel to ACPA predict the inflammatory outcome in RA. dedicated-to my family List of Papers This thesis is based on the following papers, which are referred to in the text by …
LA MULTIAPP

Agriculture is important in shaping economies all across the world. For several years, agricultural goods have been stagnating. As a result, methods to boost agricultural productivity efficiency are required. So, the aim of this paper is to implement and design a smart system to make agriculture smarter. The proposed system is composed of Microcontroller ESP32, DH11 and soil moisture sensors, wi-fi shield, fan, water pump, relay. The system enables to sense the environment and give the reaction based the input data. The system can measure and control the temperature and humidity of the environment. If the temperature and humidity rise, the system can reduce it until reach to satisfied level. Also, the system can auto irrigation the soil when the water level is decreases than pre-define threshold. Furthermore, the system sends an alarm message to the owner over wi-fi network by making a telegram bot when the degree of temperature increased and the level of water decreases. Internet of things (IoT) is utilities to developing this system.
Full-glacial vegetation of Death Valley, California: Juniper Woodland opening to Yucca semidesert

Full-glacial (13,000-19,000 yr bp) wood rat ( Neotoma ) deposits from Death Valley establish a 1200-1 5 00-m displacement of juniper woodland below modern, mountaintop relicts of Juniperus osteosperma. At an elevation of 425 m, however, there was full-glacial (19,550 yr bp) semidesert dominated by chaparral yucca ( Yucca whipplei) with minor Joshua tree (Y. brevifolia). The late Pleistocene climate must have been much less arid and more equable with cooler summers than at present. Modern, hot-desert vegetation appeared at the 425-m site between 1 1,000 and 10,000 yr bp. The shift from pluvial woodland to hyperarid desert at 775 m was time-transgressive during 13,000-9000 yr bp, as is documented by three dated transitional stages of semidesert from this site. Death Valley, California, a northern extremity of the Mohave Desert, is now one of the hottest and driest places on earth, but there is evidence that the extreme aridity of the modern climate is less than 1 1,000 years old. Wood rat ( Neotoma ) middens (Wells 1976) from very low elevations in Death Valley (Fig. 1) provide a detailed macrofossil record (thousands of leaves, twigs, seeds, etc., in many separate deposits) of late Pleistocene and Holocene vegetation over the past 20,000 years, whence the magnitude and nature of climatic change may be inferred. A more generalized indication of vegetational change during this time span is apparent from the pollen records at Tule Springs to the east in Nevada (Mehringer 1967) and at nearby Searles Lake, California (Roosma 1958). Neotoma macrofossil records from the Amargosa Range, which flanks Death Valley on the east, indicate that late-Pleistocene Juniper Woodland (dominated by Juniperus osteosperma) grew in the elevational range 1130-1280 m (Fig. la, b), on slopes now occupied by creosote bush scrub. The highest site (a), on the northeast slope of Pyramid Peak at 1280 m, yielded a late-glacial (11,800 yr bp) record of relatively mesophytic juniper woodland with montane gooseberry, mountain mahogany, and shrubby ash (Wells and Berger 1967). A new and significant (though rare) component of this assemblage in the context of the other records reported here (Table 1) is Yucca whipplei. At much lower elevations on the west flank of Death Valley (Fig. Madrono, Vol. 32, No. 1, pp. 11-23, 15 February 1985 This content downloaded from 207.46. 13.128 on Wed, 07 Sep 2016 06:03:41 UTC All use subject to http://about.jstor. org/terms
Nonexistence of Global Solutions to Double Dispersion Equations with Linear Restoring Force and Nonlinearities with Variable Coefficients

We investigate Cauchy problem to double dispersion equations with polynomial type nonlinearities with variable coefficients. Necessary and sufficient conditions for nonexistence of global weak solutions and nonblowing up ones are found for subcritical initial energy. For supercritical energy a sufficient condition for finite time blow up of the weak solutions, independent of the scalar product of the initial data, is developed.
University of Birmingham Design and characterisation of a new duplex surface system based on S-phase hardening and carbon-based coating for ASTM F1537 Co–Cr–Mo alloy

Co–Cr–Mo alloys are one of the most widely used metallic biomaterials for metal-on-metal joint prostheses. However, concerns over increased revision rates mainly due to nano-sized wear debris have been raised. This study was aimed at enhancing the friction, wear and load-bearing properties of Co–Cr–Mo alloys by developing a new duplex surface system combining super hard and wear-resistant S-phase layer with self-lubricating, low-friction carbon-based coating. To this end, ASTM F1537 Co–Cr–Mo alloy surface was plasma carburised (PC) at 450 ◦ C and then coated with a carbon-based GiC coating. The microstructures of the duplex and single treated (PC or GiC coating) Co–Cr–Mo surface systems were characterized and their mechanical, tribological and corrosion properties were evaluated. The results showed that the new duplex surface system exhibited a high load bearing capacity, a low friction coefﬁcient, excellent wear resistance and good corrosion behaviour.
Remote Sensing Image Super-Resolution Using Texture Enhancing Generative Adversarial Network

Single image super-resolution (SISR) brings excellent improvement in remote sensing applications, which has been widely studied in recent years. A method named TFSRGAN of remote sensing single image super-resolution based on generative adversarial network is proposed in this paper to address the problems of poor reconstruction visual quality and smooth details in traditional algorithms. In the proposed framework, s dense residual connection method is proposed to fuse the deep features from each residual block based on the SRGAN network, and the channel attention mechanism is added into the residual block to combinate the channel information. In addition, the network employs an edge extractor to divide the low-resolution image into low-frequency image and high-frequency image as the input of generator to improve the effect of texture reconstruction. Extensive comparison experiments were performed using AID, UCAS_AOD and China Gaofen-1 datasets, the SR results demonstrate that the proposed TFSRGAN framework outperforms the state-of-the-art algorithms including VDSR, SRGAN and ESRGAN in terms of objective evaluation metrics and subjective visual perception. The ground targets detection experiments represent that the proposed TFSRGAN can significantly improve the effect in remote sensing super-resolution application.
An Energy-Saving LoRa Linear Network System With Adaptive Transmission Parameter

LoRaWAN is widely used in information monitoring under star topology. However, for linear topology applications, the LoRaWAN protocol requires the introduction of a large number of gateways, which will lead to information asymmetry, energy waste, and low network utilization. An energy-saving LoRa linear network system with adaptive transmission parameter is proposed. LoRa multihop technology is used for communication between nodes in the system, and narrowband Internet of Things module is used to the communicate with cloud platform. The adaptive transmission parameter mechanism is adopted in the system, which improves the adaptability of the linear network to changes in link channel conditions and reduces unnecessary energy consumption. At the same time, the flexibility and robustness of self-organizing networks are enhanced. In addition, optimized duty cycle strategies are employed to further reduce the operating power consumption. After LoRaSim simulation experiments, the results show that in the changing radio channel environment, the adaptive transmission parameter mechanism could achieve a dynamic balance between data extraction rate and energy consumption. After field tests, the results show that the system not only operates stably, but also could reduce the operating energy consumption of the LoRa linear network. The system proposed in this article is suitable for linear topological structure scenes such as river hydrological monitoring, oil pipeline monitoring, and long-distance railway monitoring.
Catégorisation des trajectoires et méconnaissance institutionnelle

La constitution de la “déscolarisation” comme objet de recherche pose toute une série de questions indissociablement épistémologiques et politico-institutionnelles. Dans l’espace de production scientifique, un tel objet présente tous les avantages de la nouveauté et peut à ce titre apporter les bénéfices symboliques qui s’attachent à la “découverte” de nouveaux territoires de recherche et à l’importation des problématiques élaborées dans d’autres pays, au sein d’espaces scientifiques réputés d’“avant-garde”. Sa définition et la délimitation de la population cible de l’investigation s’avèrent néanmoins hautement problématiques, de même que la prise d’indices permettant d’analyser les trajectoires des “déscolarisés”. On peut faire l’hypothèse que l’usage des typifications scientifiques disponibles sur le sujet prend un sens particulier dans le contexte actuel des transformations du système d’enseignement et des politiques publiques qui les accompagnent, le travail de catégorisation opéré par l’observateur pouvant participer d’une forme de méconnaissance des enjeux sociaux et cognitifs de la nouvelle “donne” scolaire. On se propose ici, non de reconstituer les processus de construction symbolique et de construction institutionnelle de la notion de “déscolarisation”, mais de mettre en regard les trajectoires objectives des jeunes
Previsión temporal de la distribución espacial de la deforestación del interfluvio Purus-Madeira, región central del Amazonas, hasta el año 2050

Understanding the future of the central region of the Amazon is crucial because it is the center of a vast water supply network constituted by the rivers Solimões, Purus, Madeira and Black to form the mighty Amazon River. In the near future a wide swath of land deforested produced by construction of a road can divide the Amazon jungle on two areas, by altering and disrupting many of the macro-organic processes. With the idea of halting the advance of deforestation, there are already some measures in order to protect the environment and indigenous lands.
SOME CONSIDERATIONS ON MANAGEMENT ACCOUNTING WITHIN COMMERCIAL ENTITIES

Traditionally, management has been primarily concerned with the selection among various alternatives and the subsequent decision-making process. Underlying this approach is the reliance on information furnished by management accounting. The current study delves into the distinct characteristics of business entities' operations and the informational needs of managers. Central to this discussion is the role of management accounting, which aims to steer managers in the formulation and execution of strategies, budgets, forecasts, and the like. The methodological framework of this research adopts a theoretical perspective, utilizing conventional research methods such as analytical, comparative, synthetic, inferential analysis, and bibliometric assessment to gauge the efficacy of research within the examined domain.
Effect of Temperature and Fermentation Time on Protease Production Using Decapterus macarellus Fish Waste

The fish processing industries generate huge amounts of by-products which cause serious environmental and health problems. The environmental problems related to waste disposal can be reduced as the low cost of fish by-products contains nutrients that can enhance microbial growth and are useful for enzyme production. This research aims to investigate the effect of temperature and fermentation time on protease production from fish waste hydrolysate by using the Bacillus strain (Bacillus cereus). The pre-treatment and fish waste hydrolysate were carried out and continued with the production of protease. The effect of fermentation time was studied every 4 h for 72 h while the effect of temperature was investigated at temperatures ranging from 30 °C to 60 °C. The results showed the maximum protease production of 45.63 U/mL at 48 h of fermentation time and 44.908 ± 6.14 U/mL at a temperature of 50 °C. The current study provides insight into the effects of cultivation conditions on protease production from local fish waste industries for further optimization study to enhance protease production.
Trend in Breakfast Consumption among Primary School Children in Italy

Eating breakfast daily improves cognitive function, may contribute to learning and academic performance in children and can decrease the risk of childhood obesity. The aim of this study was to analyse how breakfast consumption changed in the period from 2008/9 to 2019 in Italy among children aged 8–9 years old participating in the OKkio alla SALUTE surveys and to explore the associations with some socio-demographic and lifestyle factors. Information about children’s daily breakfast consumption (adequate, inadequate, and no breakfast) and the socio-demographic characteristics of the children and their mothers was collected through four questionnaires addressed to parents, children, teachers and head teachers. Data were analysed for the 272,781 children from 21 Italian regions from 2008/9 to 2019. The prevalence of adequate breakfast decreased from 60.7% in 2008/9 to 55.7% in 2019 and no breakfast from 10.9 to 8.7%; conversely, inadequate breakfast increased from 28.4 to 35.6%. Logistic regression models showed that the occurrence of inadequate or no breakfast consumption was significantly higher among girls, children living in the southern regions and children with less educated mothers. These findings highlight the need for effective interventions to increase daily breakfast consumption and its adequacy among children.
Data‐Driven Ink Painting Brushstroke Rendering

Although digital painting has advanced much in recent years, there is still a significant divide between physically drawn paintings and purely digitally drawn paintings. These differences arise due to the physical interactions between the brush, ink, and paper, which are hard to emulate in the digital domain. Most ink painting approaches have focused on either using heuristics or physical simulation to attempt to bridge the gap between digital and analog, however, these approaches are still unable to capture the diversity of painting effects, such as ink fading or blotting, found in the real world. In this work, we propose a data‐driven approach to generate ink paintings based on a semi‐automatically collected high‐quality real‐world ink painting dataset. We use a multi‐camera robot‐based setup to automatically create a diversity of ink paintings, which allows for capturing the entire process in high resolution, including capturing detailed brush motions and drawing results. To ensure high‐quality capture of the painting process, we calibrate the setup and perform occlusion‐aware blending to capture all the strokes in high resolution in a robust and efficient way. Using our new dataset, we propose a recursive deep learning‐based model to reproduce the ink paintings stroke by stroke while capturing complex ink painting effects such as bleeding and mixing. Our results corroborate the fidelity of the proposed approach to real hand‐drawn ink paintings in comparison with existing approaches. We hope the availability of our dataset will encourage new research on digital realistic ink painting techniques.
the home field

Due to restrictions against the COVID-19 pandemic, spectators were not allowed to attend soccer matches at the end of the 2019/2020 season. Previous studies suggest that the absence of a home crowd changes the home field advantage in terms of match outcomes, offensive performance, and referee decisions. However, because of the small sample sizes, these changes may be random rather than meaningful. To test this, we created 1,000,000 randomized samples from the previous four seasons with the exact same number of matches played behind closed doors in Europe’s four most elite soccer leagues at the end of the 2019/2020 season. We found that across countries (Germany, Spain, Italy, and England), performance indices and referee decisions (except red cards) indeed changed to the detriment of the home team beyond the level of chance. However, this overall pattern could be ascribed to specific countries. Most importantly, the proportion of points won by the home teams declined significantly only in Germany, which was accompanied by a meaningful increase in (1) the proportion of goals scored by the away teams and (2) the proportion of yellow cards given to the home teams. We conclude that the home field advantage may indeed be lost when spectators are absent. However, in future studies, more detailed behavioral analyses are needed to determine the robustness and the behavioral determinants of this phenomenon across leagues and countries.