Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Assembly of Symmetrical and Asymmetrical Alkyl Esters in the Neat State and in Oleogels

Saturated alkyl esters play an important role in determining the functional properties of the vegetable waxes used in the formulations of natural cosmetics and edible oleogels. We studied the relationship between the thermo-mechanical properties and crystal microstructure developed by saturated symmetrical (SE: 14:14, 16:16, 18:18, 20:20, and 22:22) and asymmetrical (AE: 18:14, 18:16, 18:20, 18:22) esters in the neat state and in oleogels. Additionally, we evaluated the effect of 1-stearoyl-glycerol (MSG; 0.5 and 1%) in the development of SE and AE oleogels. The X-ray and microscopy analysis in the neat state showed that SE self-assembled developing plate-like crystals, while AE developed acicular-like crystals. Microscopy analysis indicated that AE and SE followed similar crystallization behavior in the oleogels. The AE oleogels had higher elasticity (G′) than the SE oleogels. In both types of oleogels as the ester carbon number increased the oleogels' G′ decreased and crystal size increased. The addition of just 0.5% MSG, particularly in the AE oleogels, limited the decrease in G′ as the ester carbon number increased, mainly because MSG decreased crystal size. The calorimetry results suggested that during cooling the MSG and the alkyl esters developed a co-crystal. Nevertheless, part of the MSG did not interact with the ester molecules and crystallized independently. These MSG crystals acted as active fillers of the microstructure formed by the co-crystals. The overall effect was that in comparison with the alkyl ester oleogels the alkyl ester oleogels with 0.5 and 1% MSG had higher G′ with frequency independent rheological behavior. This rheological behavior was particularly evident with the AE oleogels. Therefore, ester composition and molecular structure (i.e., symmetry or asymmetry) greatly influence its molecular self-assembly and subsequently the oleogels' thermo-mechanical properties. Studies using molecular mechanics modeling are underway to establish the mechanism for AE and SE self-assembly with and without MSG. The overall goal is to understand and control the crystallization of vegetable waxes for the development of functional edible oleogels.
Impacts of African Swine Fever on Pigmeat Markets in Europe

African Swine Fever (ASF) is a highly contagious animal disease which can cause disruptions in the international trade of pigs and products derived from pigs. During 2014–2019 ASF was introduced into several member states in the European Union (EU), including the Baltic states and Poland (2014), Czech Republic and Romania (2017), Belgium, Bulgaria and Hungary (2018), and Slovakia (2019). The objective of this study was to analyze how the ASF epidemic has contributed to the production, export, and prices of pigmeat and to the national pig inventory (number of pigs) in 11 EU member states. The data included country-level statistics on the pig markets and ASF outbreaks observed during 2010–2019. The data were first analyzed descriptively. Following this, a system of four equations was specified and estimated by using seemingly unrelated regression method. The results indicated that the consequences of ASF to the pigmeat markets are complex and may differ by country. They suggest that an ASF outbreak can reduce the production of pigmeat, export quantities and the national pig inventory in the short and medium term. On average, those new cases of ASF reduced the exports of pigmeat by close to 15% and the production quantity by more than 4% in the year after the cases had occurred, and the national pig inventory by 3–4% both in the current and the next year. However, only indirect effects on pigmeat prices were observed.
Identifying Modifiable Risk Factors for Relapse in Patients With Schizophrenia in China

Background Preventing relapse of schizophrenic patients is really a challenge. The present study sought to provide more explicit evidence and factors of different grades and weights by a series of step-by-step analysis through χ2 test, logistic regression analysis and decision-tree model. The results of this study may contribute to controlling relapse of schizophrenic patients. Methods A total of 1,487 schizophrenia patients were included who were 18–65 years of age and discharged from 10 hospitals in China from January 2009 to August 2009 and from September 2011 to February 2012 with improvements or recovery of treatment effect. We used a questionnaire to collect information about relapse and correlative factors during one year after discharge by medical record collection and telephone interview. The χ2 test and logistic regression analysis were used to identify risk factors and high-risk factors firstly, and then a decision-tree model was used to find predictive factors. Results The χ2 test found nine risk factors which were associated with relapse. Logistic regression analysis also showed four high-risk factors further (medication adherence, occupational status, ability of daily living, payment method of medical costs). At last, a decision-tree model revealed four predictors of relapse; it showed that medication adherence was the first grade and the most powerful predictor of relapse (relapse rate for adherence vs. nonadherence: 22.9 vs. 55.7%, χ2 = 116.36, p < 0.001). The second grade factor was occupational status (employment vs. unemployment: 19.7 vs. 42.7%, χ2 = 17.72, p < 0.001); the third grade factors were ability of daily living (normal vs. difficult: 28.4 vs. 54.3%, χ2 = 8.61, p = 0.010) and household income (household income ≥ 3000 RMB vs. <3000 RMB: 28.6 vs. 42.4%, χ2 = 6.30, p = 0.036). The overall positive predictive value (PPV) of the logistic regression was 0.740, and the decision-tree model was 0.726. Both models were reliable. Conclusions For schizophrenic patients discharged from hospital, who had good medication adherence, more higher household income, be employed and normal ability of daily living, would be less likely to relapse. Decision tree provides a new path for doctors to find the schizophrenic inpatient’s relapse risk and give them reasonable treatment suggestions after discharge.
A Novel Prognostic Scoring System Integrating Gene Expressions and Clinicopathological Characteristics to Predict Very Early Relapse in Node-Negative Estrogen Receptor-Positive/HER2-Negative Breast Cancer

Background: Despite low aggressiveness in tumor biology and high responsiveness to endocrine therapy, subgroups of patients with estrogen receptor-positive/HER2-negative (ER+/HER2-) breast cancer relapse early in the first two years after initiation of endocrine therapy, indicating potential endocrine resistance. Accordingly, we attempted to establish a scoring system to inform the first-2-year prognosis (F2P Score). Methods: Patients with node-negative ER+/HER2- breast cancer and complete data of gene expressions in a 21-gene panel were retrospectively retrieved from Shanghai Jiao Tong University Breast Cancer Database (SJTU-BCDB). The F2P Score was established based on the clinical and genomic variables associated with the first-2-year relapse after shrinkage correction and validated using the bootstrap resampling method. Model performance was quantified by Harrell's concordance-index (C-index) and Bayesian information criteria (BIC). Results: The F2P Score was established by integrating the clinical (age and tumor size) and genomic (ESR1, PGR, BCL2, CD68, GSTM1, and BAG1) variables with a C-index of 0.71 and BIC of 397.46. Bootstrap C-index was 0.72 (95% CI, 0.62–0.81) and BIC was 396.75 (95% CI, 252.37–541.13). A higher score indicated an increased likelihood of a first-2-year relapse, when used as continuous (HR, 2.94; 95% CI, 1.87–4.61) or categorical (HR, 3.68; 95% CI, 1.70–8.00) predictors in multivariate analysis. Both continuous and categorical F2P Score also remained prognostic for overall survival and other endpoints. No significant interaction was observed between the F2P Score and treatment subgroups. Additionally, the F2P Score outperformed the IHC4, clinical treatment score and 21-gene test in predicting first-2-year relapse. Conclusion: The F2P Score reported herein, integrating the clinicopathological and genomic variables, may inform prognosis and endocrine responsiveness. After the benefits and risks have been considered, treatment escalation may be an alternative strategy for patients with a higher score.
Aortic Arch Calcification and the Risk of Cancer: A Population-Based Cohort Study

Background: Atherosclerosis and cancer share multiple disease pathways. Yet, it is unclear if atherosclerosis is associated with a subsequent higher cancer risk. We determined the association of atherosclerotic calcification in the aortic arch, as proxy for systemic atherosclerosis, with the risk of cancer. Methods: Between 2003 and 2006, 2,404 participants (mean age: 69.5 years, 52.5% women) from the prospective population-based Rotterdam Study underwent computed tomography to quantify calcification in the aortic arch. Participants were followed for the onset of cancer, death, loss to follow-up, or January 1st, 2015, whichever came first. We computed sex-specific tertiles of aortic arch calcification volumes. Next, we examined the association between the volume and severity (i.e., tertiles) of aortic arch calcification and the risk of cancer using Cox proportional hazard models. Results: During a median (interquartile range) follow-up of 9.6 years (8.9–10.5), 348 participants were diagnosed with cancer. Participants with the greatest severity of aortic arch calcification had a higher risk of cancer [hazard ratio for the third tertile compared to the first tertile of aortic arch calcification volume in the total population is 1.39 (95% CI = 1.04–1.86)]. Conclusions: Individuals with the most severe aortic arch calcification had a higher risk of cancer. While this could reflect the impact of long-term exposure to shared risk factors, it might also point toward the co-occurrence of both conditions.
Comparative Analysis of Thermal Performance and Life Cycle Cost of Residential and Commercial Buildings; A case study of one of the Largest Islands in the World

Indoor comfort, energy demand, carbon emissions and the cost of building maintenance vary according to the building structure and occupant’s behavior. The main goal of this research is to evaluate and analyze the bioclimatic potential of different Malagasy climate zones. In addition, this study analyzes and compares energy consumption and carbon emissions in six building categories (residence, school, hospital, office, restaurant, and shopping center), designed in thirteen cities unequally distributed in the six climate regions in Madagascar. These different types of analyzed buildings are commonly found in Sub Sahara African cities. Hourly weather data for the last thirty years were analyzed for this purpose. The investigation was carried out over two seasons in the different buildings. The adaptive comfort model ASHRAE 55 was the reference for the evaluation of different passive design potentials. The results showed that in the sub-Saharan or hot zone, the range of comfort varies according to the regions associated with their geographical position, indeed, the number of hours of thermal comfort and of thermal acceptability is in the majority of the cases outside the recommended range of the international standards (CIBSE, ASHRAE and ISO). Madagascar Island, such as other countries, should develop their own standard. The demand for average cooling energy increases every year up to 3.4% in the coastal towns of Madagascar Island. More than 80% of carbon emissions can be reduced in hospitals in Madagascar as well as in Sub-Saharan Africa by increasing the maintenance cost, between
Sex Differences in Neural Responses to the Perception of Social Interactions

Social interaction is critical to emotional well-being. Previous studies have suggested sex differences in the perception of social interaction. However, the findings depend on the nature of interactions and whether it involves facial emotions. Here, we explored sex differences in neural responses to the perception of social interaction using the Human Connectome Project data. Participants (n = 969, 505 women) were engaged in a social cognition task with geometric objects moving and colliding to simulate social interaction. Behaviorally, men relative to women demonstrated higher accuracy in perceiving social vs. random interactions. Men vs. women showed higher activation in the right superior temporal gyrus, bilateral occipital and posterior cingulate cortex and precuneus, and women vs. men showed higher activation in the right inferior frontal cortex, during exposure to social vs. random interactions. In whole-brain regressions, the differences in accuracy rate in identifying social vs. random interactions (ARSOC – ARRAN) were associated with higher activation in the paracentral lobule (PCL) and lower activation in bilateral anterior insula (AI), pre-supplementary motor area (preSMA), and left middle frontal gyrus (MFG) in men and women combined, lower activation in bilateral AI, preSMA and left MFG in men alone, and higher activation in the PCL and the medial orbitofrontal cortex in women alone. The latter sex differences were confirmed by slope tests. Further, the PCL activity mediated the correlation between an internalizing syndromal score, as assessed by the Achenbach Self-Report, and (ARSOC – ARRAN) across all subjects. These findings highlighted sex differences in the behavioral and neural processes underlying the perception of social interaction, as well as the influence of internalizing traits on these processes.
Hepatopancreas Transcriptome Profiling Analysis Reveals Physiological Responses to Acute Hypoxia and Reoxygenation in Juvenile Qingtian Paddy Field Carp Cyprinus carpio var qingtianensis

The Qingtian paddy field carp (Cyprinus carpio var qingtianensis) is a local carp cultivated in the rice field of Qingtian county, Zhejiang province, China. Its high tolerance to hypoxia makes it an ideal organism for studying the molecular regulation mechanism during hypoxia process as well as reoxygenation following hypoxia in fish. In this study, we counted the differentially expressed genes (DEGs) altered during hypoxic exposure and reoxygenation process. The results indicated that 2236 genes (1506 up-regulated genes and 730 down-regulated genes) were differentially expressed between the control and hypoxic groups. The results from Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that 1152 of 2236 genes were enriched, and those genes participated in energy metabolism, reactive oxygen species (ROS) elimination, acceleration of cell apoptosis, inhibition of growth, and other processes. We found activation of the pentose phosphate pathway in hypoxia treatment, suggesting that carbohydrates not only provide energy for metabolism but also provide NADPH for protecting the body from oxidative damage and ribosomes for promoting RNA synthesis. During reoxygenation, 4509 genes (1865 up-regulated genes and 2644 down-regulated genes) were differentially expressed. The results of KEGG enrichment analysis indicated that 2392 of 4509 genes were enriched, and participated in pyruvate and lactic acid metabolism, synthesis of amino acids and lipids, inhibition of cell apoptosis, regulation of cell growth and differentiation, and other processes. These differentially expressed genes effectively alleviate the body acidosis and promote the normal growth and development of the body. Through the analysis of KEGG pathway enrichment, we observed that the physiological regulation of Qingtian paddy field carp during the processes of hypoxia and reoxygenation is not a simple and reversible process. This work first reported the adaptive mechanism of hypoxia and the recovery mechanism of reoxygenation after hypoxia in common carp, and also provided new insights for the physiological regulation of fish under hypoxia treatment.
Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices

In an IoT system, the response time of edge devices is calculated during the design time. These edge devices continuously provide data streams to ensure the smooth execution of a real-time IoT system. However, edge devices are prone to errors, and very often suffer issues when trying to maintain a certain level of communication quality in the presence of external interference. Any loss of communication at the edge device level can lead to a failure of the entire system or to misleading information being provided. Due to there being a large number of heterogeneous devices within the IoT system, it is not a trivial matter to monitor all of these devices from a centralised location or to explore system logs to determine any loss of communication. Hence, in order to maintain the highest level of of communication quality in as close as possible to the best theoretical response time, there is a need for a lightweight intelligent layer on the edge devices which could adapt depending on changes in the context. In this work, we propose an adaptive algorithm, which can predict the quality of communication of WiFi and BLE with an accuracy of 94.14% and 92.25% respectively. The adaptive layer can recommend the next best alternative available wireless communication protocol in case the existing wireless protocol’s quality degrades. Edge devices within IoT systems can be equipped with our proposed adaptive layer, which can help them to adapt according to dynamic context whilst ensuring the highest level of communication quality, thus, improving the overall resilience of the entire IoT system.
Carbapenem-Resistant Enterobacteriaceae Bloodstream Infection Treated Successfully With High-Dose Meropenem in a Preterm Neonate

Carbapenem-resistant enterobacteriaceae (CRE) bloodstream infections have been rapidly spreading worldwide with a high mortality and pose a challenge to therapeutic decision-making, especially in premature neonates because insufficient empirical antimicrobial therapy is independently associated with high mortality. This case reported that a premature infant with CRE bloodstream infection was treated successfully with high-dose meropenem treatment with model-based therapeutic drug monitoring (TDM). In clinical settings, treatment target attainment of meropenem can be improved by increasing the frequency of administration, prolonging the infusion time, and using a high dose. This case report shows a successful regimen for CRE infection in a premature neonate and emphasizes the utility of model-based TDM of high-dose meropenem treatment. The adequate antimicrobial benefit provided by innovative techniques could ensure the efficacy and safety of high-dose meropenem therapy for CRE infection.
Linux-VServer Resource Efﬁcient OS-Level Virtualization

Linux-VServer is a lightweight virtualization system used to create many independent containers under a common Linux kernel. To applications and the user of a Linux-VServer based system, such a container appears just like a separate host. The Linux-Vserver approach to kernel subsystem con-tainerization is based on the concept of context isolation . The kernel is modiﬁed to isolate a container into a separate, logical execution context such that it cannot see or impact processes, ﬁles, network trafﬁc, global IPC/SHM, etc., belonging to another container. Linux-VServer has been around for several years and its fundamental design goal is to be an extremely low overhead yet highly ﬂexible production quality solution. It is actively used in situations requiring strong isolation where overall system efﬁciency is important, such as web hosting centers, server consolidation, high performance clusters, and embedded systems.
A Comparitive Study Of Web Search Ranking Based On User Feedback Sessions

: Internet is a place of various information and it contains huge amount of data. As the web content rises, it became difficult to organize and manage the data. These datas must be organised in such a way that the search engine must be able to retrieve it efficiently.Various methods are there which helps to improve the search results in search engines by inferring user search goals.Users all over the world have different views and requirements for searching. Most of the search goals coincide.It is the function of the search engine to satisfy the user search goals.Analyzing user search goals is a best practice to make the search results efficient.These sessions are called feedback sessions which helps to infer user search goals.
Search of an Optimal Sound Augmentation Policy for Environmental Sound Classification with Deep Neural Networks

심층 신경망은 영상 분류, 음성 인식, 그리고 문자 번역 등 다양한 분야에서 효과적인 성능을 보여주고 있다. 신경망 의 구조 변화, 신경망 간의 정보 전달, 그리고 학습에 사용되는 데이터 증대 등의 확장된 연구를 통해 성능은 더욱 발전 하고 있다. 그 중에서도 데이터 증대는 기존에 수집한 데이터의 변형을 통해 심층 신경망에 더 다양한 데이터를 제공함 으로써 더욱 일반화된 신경망을 학습시기키는 것을 목표로 한다. 하지만 기존의 음향 관련 신경망 연구에서는 모델의 학 습에 사용되는 데이터 증대 방법의 연구가 영상 처리 분야만큼 다양하게 이루어지지 않았다. 최근 영상 처리 분야의 데 이터 증대 연구는 학습에 사용되는 데이터와 모델에 따라 최적의 데이터 증대 방법이 다르다는 것을 실험적으로 보여주 었다. 이에 영감을 받아 본 논문은 자연에서 발생하는 음향을 분류하는데 있어서 최적의 데이터 증대 방법을 실험적으로 찾으며, 그 과정을 소개한다. 음향에 잡음 추가, 피치 변경 혹은 스펙트로그램의 일부 제한 등의 데이터 증대 방법을 다 양하게 조합하는 실험을 통해 경험적으로 어떤 증대 방법이 효과적인지 탐색했다. 결과적으로 ESC-50 자연 음향 데이터 셋에 최적화된 데이터 증대 방법을 적용함으로써 분류 정확도를 89%로 향상시킬 수 있었다.
Generationofa large setofgenetically tractable haploidanddiploid Saccharomyces strains

Saccharomyces cerevisiae has proved to be an invaluable model in classical and molecular genetics studies. Despite several hundreds of isolates already available, the scientific community relies on the use of only a handful of unrelated strains. The lack of sequence information, haploid derivatives and genetic markers has prevented novel strains from being used. Here, we release a set of 55 S. cerevisiae and Saccharomyces paradoxus genetically tractable strains, previously sequenced in the Saccharomyces Genome Resequencing Project. These strains are stable haploid derivatives and ura3 auxotrophs tagged with a 6-bp barcode, recognized by a restriction enzyme to allow easy identification. We show that the specific barcode can be used to accurately measure the prevalence of different strains during competition experiments. These strains are now amenable to a wide variety of genetic experiments and can be easily crossed with each other to create hybrids and segregants, providing a valuable resource for breeding programmes and quantitative genetic studies. Three versions of each strain (haploid Mat a and Mat a and diploid Mat a/a all as ura3<KanMX-Barcode) are available through the National Culture Yeast Collection.
Two-Microphone End-to-End Speaker Joint Identification and Localization Via Convolutional Neural Networks

We present an end-to-end scheme based on convolutional neural networks (CNNs) for speaker joint identification and localization. We investigate the possibility to estimate both the direction of arrival (DOA) and the identity of the speaker in far-field noisy and reverberant conditions using a two-channel microphone array. The proposed CNN network is designed to map the raw waveform of the two channels into the speaker identity and into the DOA of its speech signal. We analyze the identification and localization performance with simulated experiments in noisy and reverberation conditions.