Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-Read Nanopore Sequencing Identifies Mismatch Repair-Deficient Related Genes with Alternative Splicing in Colorectal Cancer

Background Alternative splicing (AS) plays a crucial role in regulating the progression of colorectal cancer (CRC), but its distribution remains to be explored. Here, we aim to investigate the genes edited by AS which show differential expression in patients with mismatch repair deficiency (dMMR)/microsatellite instability (MSI). Materials and Methods We applied long-read nanopore sequencing to determine the mRNA profiles and screen AS genes using Oxford Nanopore Technologies (ONT) method in ten paired CRC tissues. CRC tissue and plasma samples were used to validate the differential genes with AS using real-time fluorescent quantitative PCR, immunohistochemistry, and enzyme-linked immunosorbent assay. Results ONT sequencing identified 404 genes were downregulated, and 348 genes were upregulated in MSI cancer tissues compared with microsatellite stability (MSS) cancer tissues. In total, 6,200 AS events were identified in 2,728 mRNA transcripts. WGCNA revealed dMMR/MSI-correlated gene modules, including INHBA and RPL22L1, which were upregulated; conversely, HMGCS2 was downregulated in MSI cancer. Overexpression of RPL22L1, INHBA, and CAPZA1 was further confirmed in CRC tissues. INHBA was found to be associated with tumor lymphatic metastasis. Importantly, the levels of INHBA in CRC plasma were significantly increased compared with those in noncancer plasma. INHBA showed a higher level in dMMR/MSI CRC than in MSS CRC, indicating that INHBA is a useful biomarker. Conclusion Our results showed that ONT-identified genes provide a pool to explore AS-associated markers for dMMR/MSI CRC. We demonstrated INHBA as a promising signature for clinical application in predicting tumor lymphatic metastasis and screening dMMR/MSI candidates.
Caracterización molecular y determinación del carácter probiótico de las bacterias ácido lácticas aisladas del microbioma gastrointestinal del pollo en crecimiento

La microbiota gastrointestinal del pollo, es un componente primordial de la producción avícola en términos fisiológicos, zootécnicos y veterinarios. A nivel mundial, estudios relacionados al microbiota del pollo se presentan como una prioridad principal del sector avícola con investigaciones enfocadas a los microorganismos probióticos y/o patógenos. En el marco del presente trabajo, se logró el aislamiento en medio Man Rogose and Sharpe de 32 cepas de bacterias ácido lácticas a partir de la microbiota gastrointestinal. La secuenciación parcial del ARNr 16S permitió la identificación molecular de estas 3 cepas bacterianas ácido lácticas provenientes del ventrículo (Weissella sp.), del ciego (Pediococcus pentosaceos y Enterococcus faecium). Para determinar su carácter probióticos, dichas cepas bacterianas fueron evaluadas basándose en pruebas de resistencia al ácido (pH 2,5; 3,5 y 5), bilis (0; 0,10; 0,15 y 0,30 %) y de antagonismo in vitro contra Salmonella typhimurium. Los resultados contribuyen a la disponibilidad de nuevas cepas probióticas para el sector productivo avícola y a la modernización de las tecnologías de caracterización e identificación molecular de los microorganismos del microbiota del pollo.
Consumers’ Knowledge and Handling Practices Associated with Fresh-Cut Produce in the United States

Previous studies have shown that three factors influence fresh-cut produce safety from farm to fork: (1) post-harvest practices in processing facilities, (2) employees’ handling practices in retail facilities, and (3) consumers’ handling practices in domestic kitchens or cooking facilities. However, few studies have examined consumers’ food safety knowledge, risk perceptions, and their handling practices associated with fresh-cut produce. To fill this gap, the present study conducted a nationwide survey to assess U.S. consumers’ food safety knowledge, practices, and risk perception associated with fresh-cut produce among various demographic groups and investigated factors influencing consumers’ food safety practices related to fresh-cut produce. The results showed that consumers lack the knowledge and safe handling practices toward fresh-cut produce regarding storage hierarchy, surface cleaning and sanitizing, and time and temperature control of fresh-cut produce. The men and millennial consumers exhibit a lower level of safe fresh-cut produce handling practices. In addition, a significant interaction was observed between food safety knowledge and risk perceptions on consumers’ fresh-cut produce handling practices, such that food safety knowledge can transfer to practice more effectively for consumers with high levels of risk perception. The results can be utilized to design effective consumer food safety education tools for targeted audiences.
Integer and Vector Multiplication by Using DNA

This paper presents a new procedure to perform the integer and vector multiplication by using the self assembly of 3D DNA nanostructure. The suggested procedure simulates the vector multiplication by using a look up table that represents many pairs of the vectors. The multiplication of each corresponding numbers can be performed by adding the carry and the result in each internal 3D tile of the assembled superstructures. The final result can be detected in the first row of the sum layer, where the sum layer uses the sticky ends to accumulate the result from each vertical layer. The suggested procedure is less energy consumer and can be used at very low cost.
Klasifikasi serangan malware terhadap lalu lintas jaringan Internet of Things menggunakan Algoritma K-Nearest Neighbour (K-NN)

Penerapan internet of things (IoT) dapat membuat semuanya terhubung ke internet tetapi sistem IoT dapat menjadi sasaran yang sangat mudah untuk disusupi penyerang dengan menggunakan malware, lebih dari 1,6 miliar atau tepatnya 1.637. 973.022 anomali traffic atau serangan siber (cyber attack) yang terjadi diseluruh wilayah Indonesia sepanjang tahun 2021, teknik machine learning dapat dimanfaatkan untuk proses pengklasifikasian anomali traffic dengan menggunakan algoritma k-nearest neighbour (KNN) sehingga dapat membedakan data traffic yang bersifat benign atau malicious. Data anomali traffic yang digunakan adalah dataset aposemat IoT-23, didalam dataset tersebut terdapat 23 dataset, lalu terbagi kedalam 20 datasetscenario malicious dan 3 dataset scenario benign. Namun dataset yang digunakan adalah 20 dataset scenario malicious. 20 dataset tersebut selanjutnya dilakukan data preprocessing supaya dapat digunakan untuk proses training model atau pengklasifikasian. Nilai akurasi yang didapatkan setelah proses training model sebesar 0.94 atau 94%, model yang sudah dilakukan training model dapat memprediksi traffic data baru kedalam benign atau malicious, data baru yang sudah disiapkan adalah sebanyak 25 data baru. Prediksi 25 data baru tersebut menghasilkan 20 data diprediksi benar atau sesuai dan 5 data diprediksi salah atau tidak sesuai, 5 data tersebut terbagi menjadi 3 data yang harusnya diprediksi benign dan 2 data yang harusnya diprediksi malicious.
AN INNOVATIVE APPROACH IN THE EVALUATION OF SERVICE QUALITY IN A PEDAGOGICAL TRAINING PROGRAM

"Quality is a term that is commonly considered to indicate a high level of customer satisfaction relative to factors that characterize a specific service. The most effective way to measure quality is to determine whether or not customers are satisfied. In the educational area, the constant search for improvements in the quality of educational services has led the scientific community to implement specialized measurement approaches in order to meet the quality expectations of trainees. The current research combines the evaluation model CIPP with the EppaikQual scale to measure the quality of the educational services of a Greek pedagogical training program. In this way, a management-oriented evaluation model is combined with a satisfaction measurement scale for the purpose of evaluating the program’s quality from the trainees’ perspectives. The research questions seek to determine the degree of trainee satisfaction based on the four levels of the evaluation and to define the level of the program’s quality. A total of 489 trainee prospective teachers for the 2019? 2020 academic period participated in the survey. The method of sampling without probabilities was adopted. After the completion of the program, participants were electronically provided with the measurement scale. The reliability and validity of the research tool were tested using confirmatory factor analysis. Data were analyzed by calculating the mean scores and the percentage frequencies of their agreement? disagreement in each index of the four levels of the evaluation. The survey results show that trainees are in general satisfied with the provided educational services. Their degree of satisfaction is higher for the learning outcomes and lower for the program inputs. In conclusion, it can be inferred that the participants in the training program appear to be satisfied, but they propose specific areas in which structural interventions are required in order to upgrade the level of quality of the educational services. The information gathered can contribute to sound administrative decisions with a view to improving and sustaining the training program. "
BECT Spike Detection Based on Novel Multichannel Data Weighted Fusion Algorithm

Benign epilepsy with spinous waves in the central temporal region (BECT) is the most common epilepsy syndromes in children. Spike discharges in the Rolandic area are important biomarkers for diagnosis evaluation. Conventional single-channel electroencephalogram (EEG) based spike detection methods are generally susceptible to artifact interference. To address this issue, a novel spike detection method based on multichannel EEG weighted fusion strategy is developed in this brief. The proposed algorithm mainly includes multichannel spike candidate sample screening, data weighted fusion, time-series feature extraction and long-short-time memory neural networks (LSTM) detection. Studies on 15 BECT children show that the proposed algorithm can obtain an average of 95.74% F1 scores, 93.94% sensitivity, 97.73% precision for all subjects.
Xappl: software framework for the XRISM pre-pipeline

Xappl is a software framework written in Python to build pre-pipelines for the X-Ray Imaging and Spectroscopy Mission (XRISM) scheduled to be launched in the Japanese fiscal year 2022. Xappl chains software tasks in the order specified in configuration files in the INI format, enabling us to reduce the telemetry data to First FITS Files, which originate datasets ready for analysis. Since the functionalities of Xappl are highly generalized, it is reusable for future missions. In this paper, we present the design of Xappl and report the developmental progress of the pre-pipeline for XRISM.
A Polysilicon Learning Curve and the Material Requirements for Broad Electrification with Photovoltaics by 2050

Herein, the current and future projected polysilicon demand for the photovoltaic (PV) industry toward broad electrification scenarios with 63.4 TW of PV installed by 2050 is studied. The current polysilicon demand by the PV industry in 2021 is equivalent to the consumption of 2.9–3.3 kt GW−1. Depending on the physical constraints determining the lower limit for future polysilicon consumption, the annual demand can be 6–7 Mt year−1 in 2050 under broad electrification, which requires 10–12 times more of the current production capacity. To achieve broad electrification by 2050, cumulative demand of 46–87 Mt is required. An electricity requirement for purification, ingot pulling, and wafering of ≈360–380 kWh kg−1 for silicon wafers and carbon intensity can lead to a cumulative amount of ≈16.4–58.8 Gt of CO2‐eq emissions by 2050. To reduce the environmental impact, efficiencies are increased, thinner wafers are used, kerf loss reduced, alternative purification methods with low emission intensities are explored, and opportunities for polysilicon production with decarbonized electricity are explored.
The continuance use of e-renewal of a health insurance subscription in Ghana

ABSTRACT The growth in adoption and use of mobile devices has enabled individuals to pay and renew their health insurance subscriptions at their convenience. However, information systems literature in this area reveals that the antecedents that influence the continuance use of health insurance e-renewals are not fully understood. This study investigates the antecedents to the continuance use of a health insurance e-renewal to provide further empirical understanding. To do this, we use the Unified Theory of Acceptance and Use of Technology (UTAUT2) and survey data from 130 respondents. Through partial least squares-structural equation modeling (PLS-SEM) and necessary condition analysis (NCA), findings from our study reveal that effort expectancy, social influence, convenience, and facilitating conditions are significant antecedents to behavioral intention to use health insurance e-renewal services. Also, the NCA shows that effort expectancy, convenience, and price value are necessary conditions for behavioral intentions. Both PLS-SEM and NCA results similarly confirm support for the positive or necessary effect of behavioral intention and facilitating conditions on the continuance use of health insurance e-renewal services. The study makes key theoretical contributions and some implications for practice and policy.
Integrated SRNA-Seq and RNA-Seq Analysis Reveals the Regulatory Roles of miRNAs in the Low-Temperature Responses of Canarium album

Chinese olive (Canarium album), a characteristic fruit tree in tropical and subtropical areas, suffers greatly from low-temperature stress (LTS). The regulatory roles of microRNA (miRNA) in plant LTS responses have been confirmed in many plant species but not in C. album. In this study, a cold-tolerant cultivar ‘Rui’an 3′ (RA) and a susceptible cultivar ‘Qinglan 1’ (QL) treated at 25 °C (control, CK) and −3 °C (cold temperature treatment, CT) were subjected to small RNA (sRNA) and transcriptome sequencing for the exploration of the cold responses of C. album. Comparative sRNA sequencing analysis identified much fewer LTS-responsive, differentially expressed miRNAs (DEMs) in RA (4 DEMs) than in QL (23 DEMs). Cal-miR482-22 was found to be specifically induced by LTS in RA. Cal-miR397-3 was upregulated, while cal-miR398_2-3 and cal-undef-190 were downregulated after LTS only in QL. However, when compared with QL, a higher basic expression of cal-miR397-3, and lower expression of cal-miR398_2-3 and cal-undef-190 were found in RA, suggesting that they may contribute to the cold tolerance of RA. Comparative transcriptome analysis showed that the number of LTS-responsive differentially expressed genes (DEGs) identified in QL was larger than that in RA, and some DEGs were also predicted as the target genes of the identified DEMs, forming multiple differentially expressed miRNA–target gene pairs, such as cal-miR397-3_laccase 2, 4, 17, cal-miR482-22_suppressor of npr1-1, etc. Quantitative real time PCR results showed that the expression changes of DEGs and DEMs in different samples were generally consistent with the sequencing results. Our study indicated that the basic expression levels of some miRNAs (especially the cal-miR397-3, cal-miR398_2-3, and cal-miR482-22), and their target genes contribute greatly to the cold-tolerance characteristics of C. album. Our study is helpful for understanding the roles of miRNAs in the cold resistance and responses of C. album.
A future location-aware replacement policy for the cache management at the mobile terminal

While the traditional data shipping systems use physical information to organize data, a newer data caching technique maintains both associated answers (data items) of previous queries and their meaning (purpose). This form of information description is called semantic description, and it makes it possible to reason about and derive knowledge from the given description. In a distributed heterogeneous environment, such as the mobile environment, the semantic data caching paradigm is an important technique for improving the performance of wireless data dissemination systems. Data caching performance depends heavily on the replacement policy being used for the cache management. However, future location uncertainty, limited client resources and frequent client disconnections make cache management a challenge. This paper proposes a future location-aware cache replacement policy to manage a semantic cache. The proposed replacement policy uses the validity of the data fetched from the server and the neighboring locations to decide which of the cache entries is less likely to be needed in the future, and therefore a good victim for eviction when cache space is needed. The replacement policy’s preference for cached items to be evicted is modeled as a general function that declines with distance between the mobile user’s current location and the candidate for replacement cached item’s bound location. For better efficiency, the overall replacement granularity is dynamically achieved along three levels: ring, cell and data item. Simulation study of the proposed approach shows that it outperforms both the least recently used (LRU) and furthest away replacement (FAR) schemes, where only temporal locality is considered. Moreover, the proposed scheme is easier to implement than other research and development proposals. Copyright © 2008 John Wiley & Sons, Ltd.
Adaptive backstepping fuzzy sliding mode vibration control of flexible structure

An adaptive backstepping fuzzy sliding mode control is proposed to approximate the unknown system dynamics for a cantilever beam in this paper. The adaptive backstepping fuzzy sliding mode control is developed by combining the backstepping method with adaptive fuzzy strategy, where backstepping design approach is used to drive the trajectory tracking errors to converge to zero rapidly with global asymptotic stability and fuzzy logic system is designed to approximate the unknown nonlinear function in the adaptive backstepping fuzzy sliding mode control. The proposed backstepping controllers can ensure proper tracking of the reference trajectory, and impose a desired dynamic behavior, giving robustness and insensitivity to parameter variations. Numerical simulation for cantilever beam is investigated to verify the effectiveness of the proposed adaptive backstepping fuzzy sliding mode control scheme and demonstrate the satisfactory vibration suppression performance.
Complete population transfer by a zero-area pulse (6 pages)

A zero-area pulse produces no excitation in a two-state quantum system on exact resonance. We show analytically and numerically that off resonance the transition probability may acquire significant values, and as the Rabi frequency increases, it approaches steadily unity, a feature reminiscent of adiabatic passage. The nature of the transition is not, however, of adiabatic nature. We show that complete population transfer occurs as a result of a quasiresonant transition between the adiabatic states due to a {delta}-function-type interaction with an area of {pi}.
Neoadjuvant Chemotherapy Improves the Immunosuppressive Microenvironment of Bladder Cancer and Increases the Sensitivity to Immune Checkpoint Blockade

Although tumor immune microenvironment plays an important role in antitumor therapy, few studies explored the gene signatures associated with the tumor immune microenvironment of bladder cancer after neoadjuvant chemotherapy. We examined and analyzed differentially expressed genes from 9 patients with stage I-III bladder cancer by RNA immune-oncology profiling platform. After neoadjuvant chemotherapy, the expressions of 43 genes in 19 pathways and 10 genes in 5 pathways were upregulated and downregulated, respectively. Neoadjuvant chemotherapy also promoted the expression of genes related to the activation of antitumor immune responses and decreased the expression of genes related to tumor proliferation pathways. In addition, neoadjuvant chemotherapy improved tumor response to immune checkpoint blockade. Furthermore, this study also identified several genes that can be used to predict the efficacy of neoadjuvant chemotherapy and their possible molecular mechanisms. In conclusion, neoadjuvant chemotherapy may promote the activation of antitumor effects, improve the suppressive tumor immune microenvironment, and increase the sensitivity of bladder cancer to immune checkpoint blockade.
Connecting red cells in a bichromatic Voronoi diagram

Let S be a set of n + m sites, of which n are red and have weight wR, and m are blue and weigh wB. The objective of this paper is to calculate the minimum value of wR such that the union of the red Voronoi cells in the weighted Voronoi diagram of S is a connected set. The problem is solved for the multiplicatively-weighted Voronoi diagram in O((n+m)^2 log(nm)) time and for the additively-weighted Voronoi diagram in O(nmlog(nm)) time.
ASSESSING E-PORTFOLIO ACCEPTABILITY IN AN ONLINE COURSE

"E-portfolios play an important role in the success of online courses in higher education. They help universities to provide a more effective and efficient teaching-learning process by enabling students to track their skills and proceed towards their future career goals. In view of the rapid expansion of e-portfolios in French universities, a challenging problem arises regarding its acceptance and use by higher education students, particularly in the context of online courses. Indeed, using new technology can be considered as a process that implies the evolution of judgment over time. To address this gap, the present study has two objectives. First, it explores the key factors of acceptability (before use) and acceptance (after first use) of the e-portfolio Karuta according to the literature and the Unified Theory of Acceptance and Use of Technology (UTAUT). Second, it aims to generate appropriate assumptions and validate research instruments for a new experiment (e.g., questions, items). This is a quantitative and qualitative survey with a descriptive scope. Data were collected from 10 Master students in pedagogical and digital engineering at Aix-Marseille University, France. The research instrument is a questionnaire consisting of open and closed-end questions including: 41 items using a 7 points Likert Scale, which covers Self-Regulated Online Learning (SRSOL), UTAUT’s factors and the perceived enjoyment variable administered before and after use; 2 open questions to gather more explanations from participants about their reasons to continue to (or not to) use the e-portfolio in the future; and 1 question about their feelings regarding the reflexive activity implemented when they completed or used the e-portfolio within the Karuta tool. The results showed that students seem to have the intention to continue to use the e-portfolio as part of their learning process. Besides, it appears that performance expectancy, effort expectancy, social influence predict behavioral intention to use and to continue to use the e-portfolio. "