Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent Itinerant Robot [IIR] for Agricultural Farm Monitoring using IoT

Agriculture plays a vital role in India’s economy. Nearly 60% of our country’s population hinge on agriculture and its by-products for its source of revenue. Hence proper maintenance of agricultural farm plays a pivotal role. Many on field sensor monitorization techniques has been implemented previously and it has produced incredible results in crop cultivation and farm maintenance. The performance or lifetime of the on-field sensors may get abridged due to various environmental factors and human intervention. Hence, we propose an Intelligent Itinerant robot is introduced here to monitor the various agricultural field parameters remotely on demand basis which completely removes the concept ofon-field sensor fixation strategy. Moreover, the farmers can water the agricultural field remotely using a mobile application after the monitoring the humidity, temperature, soil moisture and soil pH values. This reduces the human workload to a huge extent and it also helps in improving the lifetime and performance of the sensors.
Uma Avaliação da Sustentabilidade de Softwares com Foco em Aplicativos Móveis

This paper discusses the software sustainability evaluation and proposes a quantitative evaluation approach for mobile applications. The proposed approach considers sustainability as a transversal aspect into the quality model and relates this aspect to the others characteristics from the ISO/IEC 25010:2011 standard. This way, software metrics can be used to estimate the software quality attributes, as well as to evaluate its sustainability. Case studies are presented, in which maintainability, portability and efficiency are evaluated and used to estimate the sustainability of mobile applications. Resumo. Este artigo discute a avaliação de sustentabilidade de software e propõe uma abordagem para avaliação quantitativa de aplicativos móveis. A avaliação proposta considera a sustentabilidade como um aspecto transversal no modelo de qualidade e discute a relação da sustentabilidade com as demais características consideradas pela norma ISO/IEC 25010:2011. Desta forma métricas de software podem ser empregadas para estimar características desejadas ao produto de software, bem como para avaliar sua sustentabilidade. Estudos de caso envolvendo aplicativos móveis são apresentados, nos quais manutenibilidade, portabilidade e eficiência são avaliadas e usadas para estimar a sustentabilidade destes aplicativos.
TAPN: Test Automation's Pyramid of Needs

Testing is an essential activity to ensure quality of software systems, but it is expensive and time consuming. Thus, testing automation would be an alternative to improve test productivity and save costs. However, many organizations refuse to use test automation or had failed on implement it because they do not know how to deal with the implementation of a test automation strategy fitted to their goals and expectations. Most of them underestimate or have no knowledge about test automation factor of success. In addition, although there are many works and maturity models focused on improving the testing process, few ones focus on test automation issues. The main contribution of this paper is to propose a hierarchical model called Test Automation’s Pyramid of Needs (TAPN). TAPN is inspired in the Maslow’s Pyramid of Needs administration theory and it comprises five levels that influence on the success of test automation initiatives in software organizations. TAPN intends to help organizations to build their test automation strategy using good practices in test automation captured from the technical literature.
SOI thermal resistance and its application to thermal modeling of SOI MOSFETs

An SOI thermal resistance different from the conventional channel thermal resistance is proposed, and a relation between the proposed and conventional resistances is derived. The proposed thermal resistance is applied to develop a thermal model to describe the heat flow in SOI structure and to predict the detailed temperature distribution in the Si film and FOX. Device simulation is used to verify the validity of the model.
User's food preference extraction for personalized cooking recipe recommendation

There are many websites and researches that involve cooking recipe recommendation. However, these websites present cooking recipes on the basis of entry date, access frequency, or the recipe's user ratings. They do not reflect the user's personal preferences. We have proposed a personalized recipe recommendation method that is based on the user's food preferences. For extracting the user's food preferences, we use his/her recipe browsing and cooking history. In this paper, we present a method for extracting the user's preferences. In the experimental results, extracting the user's favorite ingredients were detected with a 60 to 83% of precision. And extracting the unfavorite ingredients were detected with 14.7% of precision, and 58% of recall. Furthermore, the F-measure value for extraction of favorite ingredients was 60.8% when we focused on the top 20 ingredients.
Integrated Trinity Test With RPA-CRISPR/Cas12a-Fluorescence for Real-Time Detection of Respiratory Syncytial Virus A or B

Respiratory syncytial virus (RSV) is a common virus that causes respiratory infection, especially severe respiratory infection in infants and young children, the elderly people over 65 years old, and people with weak immunity. Currently, RSV infection has no effective vaccine and antiviral treatment. The number of deaths due to RSV infection increases every year. Moreover, RSV A infection occurs in a large number and has severe clinical symptoms and complications than RSV B infection. Therefore, the development of a simple, rapid, and inexpensive detection method with high amplification efficiency, high sensitivity, and specificity is very important for the diagnosis of RSV A or RSV B infection, which can help in the early clinical medication and prevent the progress of the disease. Therefore, we developed an integrated trinity test with an RPA-CRISPR/Cas12a-fluorescence (termed IT-RAISE) assay system to detect RSV A or RSV B. The characteristic of the IT-RAISE system is that after target recognition, the reporter single-stranded DNA (ssDNA) is cleaved by Cas12a that is activated by different crRNAs to detect the generated fluorescent signal. This method is simple and helps in adding all reagents rapidly. It is a high-sensitive method that can detect 1.38 × 101 copies/μl of the target sequences, and it can distinguish RSV A or RSV B infection within 37 min. In addition, clinical specimens were detected for IT-RAISE system. It was found that the sensitivity and specificity of RSV A were 73.08 and 90%, respectively, and those of RSV B were 42.86 and 93.33%, respectively. The cost of ONE specimen for IT-RAISE system was approximately $ 2.6 (excluding rapid RNA extraction and reverse transcription costs). IT-RAISE system has good clinical application prospects for detecting RSV A or RSV B infection; it is a simple, rapid, and inexpensive method with high amplification efficiency, high sensitivity, and high specificity. The IT-RAISE system might also detect other viral or bacterial infections.
Effect of Dezocine on Hemodynamic Indexes of Postoperative Patients With Traumatic Brain Injury (TBI)---A Pilot Study

Background: Due to pain and other stimuli, patients with traumatic brain injury (TBI) after surgery show excited Sympathetic Nervous system, increased intracranial pressure, brain tissue swelling, intracranial hemorrhage, or reduced cerebral perfusion pressure, seriously threatening the life and prognosis of patients. The effect of dezocine on postoperative analgesia after TBI remains largely undetermined. Objective: In the present study, we aimed to investigate the efficacy and safety of dezocine in postoperative sedative and analgesic therapy for a craniocerebral injury. Methods: The patients were randomly divided into two groups (n = 40) as follows: dezocine group (Group A) and control group (Group B). Electrocardiography (ECG), heart rate (HR), blood pressure, and oxygen saturation (SpO2) were routinely monitored after postoperative return to the ward. Both groups were initially injected with 5 mg·kg−1·h−1 propofol to maintain sedation, and the dose was adjusted according to the patient’s condition. Vital signs of patients were recorded at T1 (the base value when arriving at the ward), T2 (before the sedative agent was used) and T3 (use of dezocine or 0.9% saline solution for 8 h), T4 (use for 1 day), T5 (use for 3 days), T6 (termination of dezocine or 0.9% saline solution for 1 day), and T7 (termination for 3 days), and mean arterial pressure (MAP) and HR values were also recorded. The total amount of propofol, total fluid inflow, blood loss, and urine output were recorded within 24 h. The number of coughs of each patient was recorded within 1 day after entry, and the incidence of adverse events, such as insufficient oxygenation (SaO2 reduced by about 5% from the base value), hypotension, bradycardia, laryngospasm, bronchospasm, and so on, was assessed. Results: Compared with the control group (group B), the hemodynamics of the dezocine group (group A) was more stable, there were significant differences in MAP and HR (p < 0.05), and the stress response was milder. The total amount of propofol, total fluid inflow, blood loss, and urine volume of the dezocine group were significantly improved compared with the control group (p < 0.05). Moreover, the incidence of adverse events, such as cough, in the dezocine group was significantly reduced compared with the control group (p < 0.05). Conclusions: Dezocine, as a drug with a strong analgesic effect and obvious sedative effect, was suitable for craniocervical surgery, and it could significantly improve the stability of airway and hemodynamics in TBI patients during anesthesia recovery.
Application of High-Tech Solution for Memory Assessment in Patients With Disorders of Consciousness

Testing cognitive function in patients after severe brain damage is a major clinical challenge. In the absence of both verbal and motor communication, tests commonly used to assess cognitive function are completely or partially undoable for disorders of consciousness patients. The study involved 12 patients with varying degrees of impaired consciousness due to brain damage, with no verbal and motor communication. Memory was assessed in study participants using oculography. Memory tasks were presented in four categories. The total percentage of correctly completed tasks obtained across the group was 39.58%. The most difficult tasks included category C.4 with tasks involving working memory. Regardless of the subjects' level of consciousness, there was no statistically significant difference in the percentage of correct responses obtained in subgroups distinguished by CRS-R score. Eye tracking technology can be successfully used in the assessment of cognitive function, particularly when eye movements are the only channel of communication in individuals after brain damage. We suggest that the cognitive functions of people after brain damage should be further analyzed using eye tracking.
Identification of a Novel Deep Intronic Variant by Whole Genome Sequencing Combined With RNA Sequencing in a Chinese Patient With Menkes Disease

Background: Menkes disease (MD) is a rare X-linked connective tissue disorder of copper metabolism caused by pathogenic variant(s) in ATP7A gene. The aim of the present study is to determine the clinical characteristics and molecular basis of one patient with MD. Methods: One 10-month-old Chinese boy who met the clinical manifestations of MD was enrolled in this study. Whole genome sequencing (WGS) was performed in the patient in order to identify the variant(s), followed by Sanger sequencing. RNA sequencing (RNA-seq) from whole blood was subsequently applied to assess the effect of variant on transcription levels, and reverse transcriptase-polymerase chain reaction (RT-PCR) was performed for further validation. In addition, X chromosome inactivation (XCI) status of the patient’s mother at the DNA level was measured by capillary electrophoresis. Results: The patient suffered from intermittent convulsions for more than 6 months, with psychomoto retardation and neurodegenerations. The patient also had curly hair, hypopigmented skin, cutis laxa, decreased muscle strength and hypotonia. MRI showed the intracranial arteries were tortuous with some “spiral” changes. The patient’s serum ceruloplasmin level was low. WGS revealed one novel hemizygous variant, c.2627-501C > T (NM_000,052.7), located in the deep intronic sequence of ATP7A gene. Sanger sequencing confirmed that the variant was inherited from his mother. RNA-seq confirmed the variant itself, and identified a pseudo-exon inserted between exons 12 and 13 in mRNA of ATP7A. The sequencing results of RT-PCR from the patient confirmed this finding, while neither of his parents detected aberrant splicing. The Capillary electrophoresis results showed that the patient’s mother had a skewed XCI. Conclusion: Our finding of the variant enlarges the variant spectrum in the ATP7A gene. This is a novel deep intronic variant which leads to the activation of a pseudo-exons in the ATP7A gene, and it demonstrates the usefulness of WGS combined with RNA-seq, in terms of revealing disease-causing variants in non-coding regions. Furthermore, the fact that the deep intronic variants cause disease by the activation of pseudo-exon inclusion indicates that in MD this might be an important mechanism.
A Systematic Review and Meta-Analysis of the Role of Sugar-Free Chewing Gum on Plaque Quantity in the Oral Cavity

Background The aim of this systematic review of published literature was to answer the research question, “What is the difference in the level of plaque quantity, in adults and children who chew sugar-free gum (SFG), compared with those who do not chew SFG, who do not chew gum, or who use alternatives such as probiotics or fluoride varnish? ”. Methods The systematic review [registered on PROSPERO 2018 (CRD42018094676)] included studies on adults and children with chewing of SFG as the main intervention, where “sugar” referred to monosaccharides and disaccharides. Included studies were in English and corresponded to primary research published between 1946 and 2020. The search conducted spanned all relevant databases using both Medical Subject Headings (MESH) and free text with combinations of “chewing gum,” “sugar-free,” “caries,” “xerostomia,” “periodontal disease. ” Results Eight articles included plaque quantity as part of their outcomes. Meta-analysis showed that SFG significantly reduced plaque quantity (effect size−0.778; 95% CI−1.167 to−0.39). The correlation between the baseline and the end of study data was assumed to be 0.95 for the control and 0.65 for the SFG group. A sensitivity analysis was conducted with the pre- to post-test correlation, set at 0.95 for the SFG group. This gave an effect size of−1.098 (95% CI−1.539 to−0.656) with I2 = 89.73%. When looking more specifically at xylitol gum, the results of the meta-analysis showed that it significantly reduced plaque quantity (effect size−0.743; 95% CI−1.148 to−0.338). There was a high degree of heterogeneity between studies with I2 = 86.0%. Conclusion There is some evidence that chewing sugar-free gum, in particular xylitol SFG, reduces the quantity of plaque in the oral cavity in comparison to non SFG chewing or no chewing controls. Further research with improved design, lengthier timeframes and higher number of participants should be considered. Systematic Review Registration https://www.crd. york.ac. uk/PROSPERO/display_record. php? RecordID=94676.
A Balanced Scorecard for Maximizing Data Performance

A good performance monitoring system is crucial to knowing whether an organization's efforts are making their data capabilities better, the same, or worse. However, comprehensive performance measurements are costly. Organizations need to expend time, resources, and personnel to design the metrics, to gather evidence for the metrics, to assess the metrics' value, and to determine if any actions should be taken as a result of those metrics. Consequently organizations need to be strategic in selecting their portfolio of performance indicators for evaluating how well their data initiatives are producing value to the organization. This paper proposes a balanced scorecard approach to aid organizations in designing a set of meaningful and coordinated metrics for maximizing the potential of their data assets. This paper also discusses implementation challenges and the need for further research in this area.
The Cost Effectiveness of Donafenib Compared With Sorafenib for the First-Line Treatment of Unresectable or Metastatic Hepatocellular Carcinoma in China

Background Recent clinical trials have demonstrated that donafenib has superior efficacy and safety compared with sorafenib in Chinese patients with unresectable or metastatic hepatocellular carcinoma (HCC). The objective of this study was to assess the cost effectiveness of donafenib compared with sorafenib for the treatment of patients with unresectable or metastatic HCC in China. Methods A three-state partitioned survival model was developed to perform a cost-effectiveness analysis comparing donafenib and sorafenib from a Chinese healthcare payer's perspective. The model adopted a lifetime horizon and a 4-week cycle length. Survival data were derived from the ZGDH3 study and fitted with standard parametric functions for extrapolation beyond the trial period. Cost data were obtained from the mean price of publicly listed online bids in 2021 and medical service prices across provinces in China. Utility data were obtained from previous literature. The cost and health outcomes were discounted at an annual rate of 5%. Deterministic and probabilistic sensitivity analyses (PSAs) were carried out to verify the robustness of the model. Results Compared with sorafenib, donafenib incurred a higher cost (US$22,330.23 vs. US$14,775.92) but yielded more quality-adjusted life years (1.045 vs. 0.861 QALYs). The incremental cost-effectiveness ratio (ICER) for donafenib was US$41,081.52 per QALY gained (ICER = US$13,439.10/QALY). The PSA results indicated that at a willingness-to-pay threshold of 3 times the GDP in China, the probability of donafenib being cost effective was 16.9%. The ICER (US$13,439.10/QALY) decreased when the branded price of sorafenib was used in the model. Conclusions Donafenib is unlikely to be cost effective compared with sorafenib for the first-line treatment of unresectable or metastatic HCC in China. Reducing the price of donafenib can increase the possibility of it being cost effective in the future.
Association of Four Nutritional Scores With All-Cause and Cardiovascular Mortality in the General Population

Background and Aims Malnutrition is a well known risk factor for adverse outcomes in patients with cancer, cardiovascular disease (CVD) and chronic kidney disease, but epidemiological evidence on its relationship with the long-term risk of all-cause mortality and cardiovascular death is limited. Methods A total of 20,116 adults from the United States National Health and Nutrition Examination Survey 2007–2014 were enrolled. The Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT) score, and Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI) were calculated at baseline. Cox regression and the Kaplan–Meier analysis were conducted when participants were divided into three groups according to the tertiles of objective nutritional scores. Restricted cubic spline was performed to further explore the shape of the relationship between all-cause mortality, cardiovascular death, and nutritional scores. In addition, the area under the curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were conducted to assess which nutritional scores have the greatest predictive value for all-cause death and cardiovascular death in the general population. Results The cumulative incidence of all-cause death and cardiovascular death was significantly higher in participants with a higher CONUT score, lower GNRI, and lower PNI. TCBI showed the worst performance on grading and risk assessment. After adjusting confounding factors, the lowest PNI and GNRI tertile and highest COUNT score were independently and significantly associated with increased risk of all-cause death (all P < 0.01) and cardiovascular death (all P < 0.05) analyzed by a multivariate Cox regression model. An L-shaped association between the HR (hazard ratio) of all-cause mortality and nutritional scores (GNRI, PNI and TCBI) was observed in the overall populations. In addition, the PNI had the highest predictive value for all-cause mortality [AUC: 0.684, 95% confidence interval (CI): 0.667–0.701] and cardiovascular death (AUC: 0.710, 95% CI: 0.672–0.749) in the general population compared with other nutritional scores. Conclusion The poorer the nutritional status of the general population, the higher the all-cause mortality and cardiovascular mortality. The PNI score may provide more useful predictive values than other nutritional scores.
Set Goals to Get Goals: Sowing Seeds for Success in Sports

Sports coaches encourage us to be active, alert, and to get things done quickly; they also advise us to relax, be patient, and do things slowly. With these changing instructions, we need a system to do things at our own pace. In sport psychology, we call this system goal setting. Goal setting means establishing a target that you want to achieve. When your goals are specific, achievable, and challenging, you feel motivated. Getting a glass of water from the kitchen might be specific and achievable but not challenging, whereas training for the nationals in 3 months’ time might challenge you, but you might not know precisely how or when to train. In this article, we introduce a goal-setting system that can help you to set and achieve the goals that matter most to you.
Chromosome-Level Genome Assembly of Bupleurum chinense DC Provides Insights Into the Saikosaponin Biosynthesis

Bupleurum chinense DC is a plant widely used in Chinese traditional medicine. Saikosaponins are the major bioactive constituents of B. chinense DC. Saikosaponins biosynthesis in Bupleurum has been more intensively studied than any other metabolic processes or bioactive constituents. However, whole-genome sequencing and chromosome-level assembly for Bupleurum genus have not been reported yet. Here, we report a high-quality chromosome-level genome of B. chinense DC. through the integration of PacBio long-read sequencing, Illumina short-read sequencing, and Hi-C sequencing. The genome was phased into haplotype 0 (621.27 Mb with a contig N50 of 16.86 Mb and a scaffold N50 of 92.25 Mb) and haplotype 1 (600.48 Mb with a contig N50 of 23.90 Mb and a scaffold N50 of 102.68 Mb). A total of 45,909 and 35,805 protein-coding genes were predicted in haplotypes 0 and 1, respectively. The enrichment analyses suggested that the gene families that expanded during the evolution of B. chinense DC are involved in the biosynthesis of isoquinoline alkaloid, tyrosine, and anthocyanin. Furthermore, we analyzed the genes involved in saikosaponin biosynthesis and determined the candidate P450 and UGT genes in the third stage of saikosaponins biosynthetic, which provided new insight into the saikosaponins biosynthetic. The genomic data provide a valuable resource for future investigations of the molecular mechanisms, biological functions, and evolutionary adaptations of B. chinense DC.