Miracle-dz/UniFAR-FTUs huggingface dataset:
Abstract 975: Sorafenib overcomes irinotecan resistance in colorectal cancer by inhibiting the ABCG2 drug-efflux pump..

Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC Background: Despite recent advances in the treatment of colorectal cancer, tumor resistance is a frequent cause of chemotherapy failure. Thus, new treatment options are needed to improve survival of patients with irinotecan-refractory colorectal cancers, particularly those bearing KRAS mutations that preclude the use of anti-EGFR therapies. In this study, we investigated whether sorafenib could reverse irinotecan resistance, thereby enhancing the therapeutic efficacy of routinely used irinotecan-based chemotherapy. Materials and methods: We used both in vitro (the HCT116, SW48, SW620 and HT29 colon adenocarcinoma cell lines and four SN-38 resistant HCT-116 and SW48 clones) and in vivo models (nude mice xenografted with SN-38 resistant HCT116 cells) to test the efficacy of sorafenib alone or in combination with irinotecan, or its active metabolite SN-38. Results: Sorafenib improved the anti-tumoral activity of irinotecan in vitro, in both parental and SN-38 resistant colon adenocarcinoma cell lines independently of their KRAS status, as well as in vivo, in xenografted mice. By inhibiting the drug-efflux pump ABCG2, sorafenib favors irinotecan intracellular accumulation and enhances its toxicity. Conclusion: Our results show that sorafenib can suppress resistance to irinotecan and suggest that sorafenib could be used to overcome resistance to irinotecan-based chemotherapies in colorectal cancer, particularly in KRAS mutated tumors. Citation Format: Thibault Mazard, Annick Causse, Joelle Simony, Wilhem Leconet, Marta Jarlier, Marc Ychou, Maguy Del Rio, Pierre Martineau, Bruno Robert, Celine Gongora. Sorafenib overcomes irinotecan resistance in colorectal cancer by inhibiting the ABCG2 drug-efflux pump. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 975. doi:10.1158/1538-7445.AM2013-975
Delete the PDF and Start Again? Exploring the Potential for Innovative Dissemination Methods of Music Education Scholarship

Research from Sheehy (2016) found that in-service educators are increasingly disengaging from the scholarly field. This paper highlights and critiques paradigmatic approaches used to disseminate scholarly research in music education which ostensibly lead to teacher disengagement, including the use of academic language, issues of accessibility, and the “printable” formats of scholarly texts. It utilizes Reynolds’ (2009) discussion of factors which led to the development of the musical genre “post-punk” as a framework to critique, compare, and discuss how discourses of social media may inform the development of innovative scholarly research dissemination methods. In doing so a new “genre” of scholarly publication which is informed by normative academic practices and those associated with social media is both proposed and exemplified. It is argued that these proposed innovative dissemination methods have the potential to reengage in-service educators within the scholarly field; and foster academic publications which are considered more engaging, accessible, and relevant.
Predictive power of remote sensing versus temperature‐derived variables in modelling phenology of herbivorous insects

Application of remote sensing datasets in modelling phenology of heterotrophic animals has received little attention. In this work, we compare the predictive power of remote sensing versus temperature‐derived variables in modelling peak flight periods of herbivorous insects, as exemplified by nocturnal moths. Moth phenology observations consisted of weekly observations of five focal moth species (Orthosia gothica, Ectropis crepuscularia, Cabera exanthemata, Dysstroma citrata and Operophtera brumata) gathered in a national moth monitoring scheme in Finland. These species were common and widespread and had peak flight periods in different seasons. Temperature‐derived data were represented by weekly accumulating growing degree days (GDD) calculated from gridded temperature observations. Remote sensing data were obtained from three sources: (1) snow melt‐off date from the MODIS daily snow maps, (2) greening date using the NDWI from MODIS data and (3) dates of start, maximum and end of growing season based on the JRC FAPAR products. Peak phenology observations of moths were related to different explanatory variables by using linear mixed effect models (LMM), with 70% of the data randomly selected for model calibration. Predictive power of models was tested using the remaining 30% of the data. Remote sensing data (snow melt‐off and vegetation greening date) showed the highest predictive power in two moth species flying in the early and late spring, whereas in the three other species none of the variables showed reasonable predictive power. Flight period of the spring species coincides with natural events such as snow melt or vegetation greening that can easily be observed using remote sensing techniques. We demonstrate the applicability of our methodology by predictive spatial maps of peak flight phenology covering the entire Finland for two of the focal species. The methods are applicable in situations that require spatial predictions of animal activity, such as the management of populations of insect pest species.
Parameter optimization of decode-and-partial-forward scheme

In this paper, a decode-and-partial-forward (DPF) scheme for the half-duplex relay system is proposed, which transmits only a part of codewords by considering code and channel characteristics at the relay. Furthermore, optimization of the time-division parameter in DPF scheme is performed to obtain performance improvement.
Dealing with Food and Eggs in Mouthbrooding Cichlids: Structural and Functional Trade-Offs in Fitness Related Traits

Background As in any vertebrate, heads of fishes are densely packed with functions. These functions often impose conflicting mechanical demands resulting in trade-offs in the species-specific phenotype. When phenotypical traits are linked to gender-specific parental behavior, we expect sexual differences in these trade-offs. This study aims to use mouthbrooding cichlids as an example to test hypotheses on evolutionary trade-offs between intricately linked traits that affect different aspects of fitness. We focused on the oral apparatus, which is not only equipped with features used to feed and breathe, but is also used for the incubation of eggs. We used this approach to study mouthbrooding as part of an integrated functional system with diverging performance requirements and to explore gender-specific selective environments within a species. Methodology/Principal Findings Because cichlids are morphologically very diverse, we hypothesize that the implications of the added constraint of mouthbrooding will primarily depend on the dominant mode of feeding of the studied species. To test this, we compared the trade-off for two maternal mouthbrooding cichlid species: a “suction feeder” (Haplochromis piceatus) and a “biter” (H. fischeri). The comparison of morphology and performance of both species revealed clear interspecific and intersex differences. Our observation that females have larger heads was interpreted as a possible consequence of the fact that in both the studied species mouthbrooding is done by females only. As hypothesized, the observed sexual dimorphism in head shape is inferred as being suboptimal for some aspects of the feeding performance in each of the studied species. Our comparison also demonstrated that the suction feeding species had smaller egg clutches and more elongated eggs. Conclusions/Significance Our findings support the hypothesis that there is a trade-off between mouthbrooding and feeding performance in the two studied haplochromine cichlids, stressing the importance of including species-specific information at the gender level when addressing interspecific functional/morphological differences.
FREQUENCY OF THE KNEE POSTEROLATERAL CORNER INJURY IN COMBINATION WITH ANTERIOR CRUCIATE LIGAMENT INJURY

Objective: To determine the frequency of posterolateral corner injury in combination with an anterior cruciate ligament injury. Methodology: This Descriptive Cross-Sectional study was performed at Ortho Unit, MTI-Khyber Teaching Hospital Peshawar from 18 July 2020 to 18 January 2021. A detailed clinical history was taken followed by a general physical and systemic examination from all patients presenting with diagnosed anterior cruciate ligament tear on MRI. A plain radiograph of the involved knee was taken in sagittal and coronal planes to identify any fracture or dislocations and make necessary exclusions. The finally selected patients were enrolled and a specific data sheet purposely designed, was filled for each of them. A quick height, weight, and BMI (on Stadiometer and standard weighing scale) calculation were done and Beighton score was calculated for all patients. Results: Incidence of posterolateral corner (PLC) injuries was found in 36 (21.3%) patients combined with anterior cruciate ligament (ACL). Conclusion: It is of utmost importance to detect and treat the injury properly. As PLC injuries are not usually diagnosed in the first place, therefore, a thorough understanding of functional interactions of the PLC, specific history taking, and precise physical examination are required for the diagnosis and treatment. Keywords: Anterior Cruciate Ligament (ACL); Posterolateral Corner (PLC); Knee; Multiligamentous Injury
The Impact of Growth Mindset Interventions on Students’ Motivation, Resilience, and Academic Achievement

This study focuses on the impact of growth mindset interventions on students’ motivation, resilience and academic achievement. The specific objectives of the study entail: to assess the impacts of growth mindset interventions on student motivation, resilience, and academic performance in educational settings, to examine the practical strategies employed by educators to implement growth mindset interventions effectively and to identify potential challenges and limitations of growth mindset interventions in fostering a growth mindset culture in schools. The study employed qualitative research approach and used documentary review to collect data of the study. The findings of the study on the impact of growth mindset interventions on students’ motivation, resilience and academic achievement revealed that growth mindset interventions have demonstrated significant positive impacts on students' motivation in educational settings, evidence from various studies demonstrates that growth mindset interventions have a positive impact on students' resilience in educational settings and lastly various recent research studies conducted provide evidence of the positive impact of growth mindset interventions on students' academic achievement, motivation, engagement, resilience, and persistence. The findings of the study on the practical strategies employed by educators to implement growth mindset interventions effectively entail: provision of explicit instruction, fostering a supportive classroom culture, teaching effective learning strategies, provision of feedback that promotes growth mindset, encouragement of reflection and metacognition, modelling a growth mindset and leverage of technology and digital resources: The findings of the study on the potential challenges and limitations of growth mindset interventions in fostering a growth mindset culture in schools include: limited sustainability, individual differences, low teacher training, contextual factors and overgeneralization. The study recommends that Schools and educational institutions should actively incorporate growth mindset interventions into their curriculum and teaching strategies, encouraged to set realistic and achievable goals and regularly reflect on their progress, provide professional development opportunities and training programs for educators to enhance their understanding of growth mindset principles and strategies and should create an environment that promotes positivity, encouragement, and a sense of belonging.
Energy and bandwidth-efficient Wireless Sensor Networks for monitoring high-frequency events

Wireless Sensor Networks (WSNs) are mostly deployed to detect events (i.e., objects or physical changes) at a high/low frequency sampling that is usually adapted by a central unit (or a sink), thus requiring additional resource usage in WSNs. However, the problem of autonomous adaptive sampling regarding the detection of events has not been studied before. In this paper, we propose a novel scheme, termed “event-sensitive adaptive sampling and low-cost monitoring (e-Sampling)” by addressing the problem in two stages, which lead to reduced resource usage (e.g., energy, radio bandwidth) in WSNs. First, e-Sampling provides a solution to adaptive sampling that automatically switches between high- and low-frequency intervals to reduce the resource usage while minimizing false negative detections. Second, by analyzing the frequency content, e-Sampling presents an event identification algorithm suitable for decentralized computing in resource-constrained WSNs. In the absence of an event, “uninteresting” data is not transmitted to the sink. We apply e-Sampling to structural health monitoring (SHM), which is a typical application of high frequency events. Evaluation via both simulations and experiments validates the advantages of e-Sampling in low-cost event monitoring, and in expanding the capacity of WSNs for high data rate applications.
Small-Angle X-ray Scattering (SAXS) Used for the Identification of Nicomorphine Polymorphic Changes at the Early Stage to Avoid Varied Stability and Possible Side Effects

In this paper, we present the identification of polymorphisms at an early stage, identified by applying non-standard methods such as SAXS. We provide an analytical approach to polymorphism in the quality/purity of an active pharmaceutical ingredient (API), supplied to a generic company by two different suppliers (i.e., manufacturers). Changes in thermodynamic polymorphism firstly become visible in traces in the larger crystal lattices, which are visible on the SAXS spectrum only using the logarithmic scale, as shown in the result figures. Hence, we are here on the trail of the beginning of a new polymorph in nicomorphine, whose crystal waviness at the early stage is visible only in the additional symmetrical peaks identified and calculated using SAXS, while the chemical analyses excluded all kinds of chemical impurities. The chemical and structural properties were studied using the following techniques: SAXS, WAXS, DSC, dissolution, Raman spectroscopy, and FTIR. Only the SAXS technique could identify crucial differences and calculate the additional signals related to giant crystals, whilst a standard method such as WAXS showed none, and nor did the chemical analyses, such as Raman spectroscopy and FT-IR. This means that due to water in crystallization (known in nicomorphine) or thermodynamic waviness, the formation of the new polymorph starts first in traces, which become visible at larger distances from the crystal lattice, detectible only in the SAXS range. This is a very important premise and hypothesis for further research, and we believe that this work lays a new stone in understanding the origin of new unknown polymorphs and their mixtures. Therefore, the aim of this work is to show that the use of non-standard methods (i.e., SAXS) can be of great benefit to API analysis and the identification of polymorphic changes in the early phase, which can cause varied stability, solubility and bioavailability and thus different therapeutic effects or side effects.
Automation 2.0: Current trends in factory automation

Current technological advances under the umbrella of the Web 2.0 have enabled an unprecedented level of interoperability and information exchange at the factory floor. These advances are leading to a redesign in the way factory automation systems and developed and built. This paper reviews current trends in the domain of factory automation that are leading to a new automation paradigm, identified as Automation 2.0.
On the Impact of Multi-mode Terminals in Heterogeneous Wireless Access Networks

Beyond 3G (B3G) networks encompasses, among other features, a wide range of radio access technologies (RATs) providing users with a flexible and efficient access to the increasing pool of demanding services. This allows users to get connected using the access technology that is most suitable according to some specified criteria. Consequently, to take full advantage of B3G networks, mobile terminals needs to support a larger set of capabilities. Among those, the support of different RATs, i.e. multi-mode capacity, is a must. This paper addresses the impact of multi-mode terminals in an EDGE/UMTS heterogeneous network with multi-service provisioning. Results indicate that multi-mode terminal availability should be considered when designing common radio resource management strategies in heterogeneous wireless access networks. Specifically, a service-based initial RAT selection policy is evaluated, revealing different behaviors for different multi-mode terminal availabilities and service-class mixings. In order to compensate the limitations imposed by non-multi-mode terminals, it is suggested to actuate over GERAN by using a resource reservation scheme for interactive users. By doing so, we tradeoff the QoS between multi-service/multi-mode users
On the vortex identification within a linear blade cascade - an experimental research

This paper deals with the identification of the individual vortical structures within a linear blade cascade based on H criteria. The experimental data obtained from the pressure measurement at the cascade outlet were evaluated by a standard procedure to obtain the velocity field in one plane. Then, the vorticity in the flow field was evaluated based on Crocco’s theorem, and in the final step, the helicity density was calculated. The impact of the inlet flow angle on the velocity field as well as on the vortical structures was investigated. The effect of the value of the H threshold on the vortex identification is discussed in the last part of the paper.
EFFECT OF WATER LEVEL MANAGEMENT ON YIELD OF LOWLAND RICE IN SOBARI SYSTEM

Research aimed to study effect of water level management on yield of lowland rice in System of Organic - Based on Controlled Aerobic Rice Intensification (SOBARI) had been conducted in lowland Group Farmers Sadang Mukti, Sadang Sari Baleendah, Bandung West Java with altitude of 668 m above sea level. The experiment was conducted since April 2013 until July 2013. Research used experimental methods, with Randomized Block design with three replications. The water level management treatment consisting of four water level managements, namely : A = moldy where re-filled when the soil water level had dropped to -15 cm below the soil surface, B = moldy where irrigation re-filled when the soil water level had dropped to -10 cm below the soil surface, C = moldy where irrigation re-filled when the soil water level had dropped to -5 cm below the soil surface, D = flooded water management 3-5 cm above the soil surface (conventional). The results showed that: to mitigate CH4 from rice field and increase the number of grain per panicle and yield of rice plants, the planting can be done with a water level management moldy, where irrigation re-filled when the soil water level had dropped to -5 cm below the soil surface.
Analyzing Co-occurrence Patterns of Nonverbal Behaviors in Collaborative Learning

In collaborative learning, participants work on the learning task together. In this environment, linguistic information via speech as well as non-verbal information such as gaze and writing actions are important elements. It is expected that integrating the information from these behaviors will contribute to assessing the learning activity and characteristics of each participant in a more objective manner. With the objective of characterizing participants in the collaborative learning activity, this study analyzed the verbal and nonverbal behaviors and found that the gaze behaviors of individual participants and those between the participants provides useful information in distinguishing a leader of the group, one who follows the leader, or one who attends to other participants who do not appear to understand.
Comparison Study of Automated Facial Expression Recognition Models

Facial expressions play a crucial role in human nonverbal communication, and in the psychology field there is a strong consensus on the existence of five key emotions: anger, fear, disgust, sadness, and happiness. This paper aims to evaluate multiple facial expression recognition detection models, assessing their performance across different machines and databases. By identifying the strengths and weaknesses of each option, the study seeks to comparatively determine the most suitable model for specific tasks or scenarios. For each computer, all databases were processed through the usage of the detection models, while measuring the required runtime for the facial expression detection. The detection models: Residual Masking Network and Deepface, were tested through the databases Extended Cohn-Kanade and AffectNet. The assessed data point towards an average higher accuracy for the model Residual Masking Network, but faster runtime for Deepface. Thereby, Deepface may be preferentially employed in scenarios where time constraints are a primary concern, there is limited processing capability available, or an emphasis on recognizing either happiness or neutral expressions, while Residual Masking Network might be favored in striving for a higher detection accuracy.
The Candida albicans Pho4 Transcription Factor Mediates Susceptibility to Stress and Influences Fitness in a Mouse Commensalism Model

The Pho4 transcription factor is required for growth under low environmental phosphate concentrations in Saccharomyces cerevisiae. A characterization of Candida albicans pho4 mutants revealed that these cells are more susceptible to both osmotic and oxidative stress and that this effect is diminished in the presence of 5% CO2 or anaerobiosis, reflecting the relevance of oxygen metabolism in the Pho4-mediated response. A pho4 mutant was as virulent as wild type strain when assayed in the Galleria mellonella infection model and was even more resistant to murine macrophages in ex vivo killing assays. The lack of Pho4 neither impairs the ability to colonize the murine gut nor alters the localization in the gastrointestinal tract. However, we found that Pho4 influenced the colonization of C. albicans in the mouse gut in competition assays; pho4 mutants were unable to attain high colonization levels when inoculated simultaneously with an isogenic wild type strain. Moreover, pho4 mutants displayed a reduced adherence to the intestinal mucosa in a competitive ex vivo assays with wild type cells. In vitro competitive assays also revealed defects in fitness for this mutant compared to the wild type strain. Thus, Pho4, a transcription factor involved in phosphate metabolism, is required for adaptation to stress and fitness in C. albicans.