Miracle-dz/UniFAR-FTUs huggingface dataset:
Chip level charge recovery

Charge recovery uses charge from falling datalines to charge the rising datalines. Previous works addresses to this phenomena using statistical switching models where the amount of energy savings depends on the number of lines shorted, the control circuitry, data length & pattern [1]. We are extending the concept to creation of an intermediate level virtual source/sink, which acts as a charge reservoir & facilitates for charge recovery. Implementation of the concept provides feasibility for chip level charge recovery, even suitable for a single switching line. We could observe up to 35% reduction in switching power.
Predictive Analytics for Inpatient Postoperative Opioid Use in Patients Undergoing Mastectomy

Introduction: The use of opioids in mastectomy patients is a particular challenge, having to balance the management of acute pain while minimizing risks of continuous opioid use postoperatively. Despite attempts to decrease postmastectomy opioid use, including regional anesthetics, gabapentinoids, topical anesthetics, and nonopioid anesthesia, prolonged opioid use remains clinically significant among these patients. The goal of this study is to identify risk factors and develop machine-learning-based models to predict patients who are at higher risk for postoperative opioid use after mastectomy. Methods: In this retrospective cohort study, we collected data from patients that underwent mastectomy procedures. The primary outcome of interest was defined as oxycodone milligram equivalents (OME) greater than or equal to the 75% of OME use on a postoperative day 1. Model performance (area under the receiver-operating characteristics curve (AUC)) of various machine learning approaches was calculated via 10-fold cross-validation. Odds ratio (OR) and 95% confidence intervals (CI) were reported. Results: There were a total of 148 patients that underwent mastectomy and were included. The medium (quartiles) postoperative day 1 opioid use was 5 mg OME (0.25 mg OME). Using multivariable logistic regression, the most protective factors against higher opioid use was being postmenopausal (OR: 0.13, 95% CI: 0.03-0.61, p = 0.009) and cancer diagnosis (OR: 0.19, 95% CI: 0.05-0.73, p = 0.01). The AUC was 0.725 (95% CI: 0.572-0.876). There was no difference in the performance of other machine-learning-based approaches. Conclusions: The ability to predict patients’ postoperative pain could have a significant impact on preoperative counseling and patient satisfaction.
A Case of Minimal Change Disease after SARS-CoV-2 Vaccination under the Age of 18

This is a care report of a 16-year-old-male who developed de novo minimal change disease following the second dose of the Pfizer vaccine. The patient developed sudden onset edema and 10 kg weight gain. He had nephrotic range proteinuria with normal renal function. Kidney biopsy with adequate sample confirmed minimal change disease. The patient improved after 1 week of starting prednisone. This is the first case of minimal change disease after the Pfizer vaccine in the teenager population since expanding the age groups to allow younger subjects to receive the vaccine. Reporting cases at different age groups will help in trying to clarify whether the increasing reports of nephrotic syndrome following the vaccination are accidental or cause–effect relationship.
Decoupling Slope and Aspect Vectors to Generalize Relief Shading

ABSTRACT Relief shading is designed to vary the brightness of terrain elements on a two-dimensional map to create a three-dimensional effect. One concern is how this layer can be generalized for use in multi-scale mapping. We propose a methodology that calculates relief shading from slope and aspect vectors, as these layers allow map users to recognize characteristics of the terrain and show consistent trends in spatial autocorrelation with generalization. We adjust the orientation of surface vectors with a mean filter to preserve the structural terrain elements while eliminating landforms of finer detail. To demonstrate its use, we show two examples of generalizing detailed relief shading and compare results to relief shading of the next coarser scale of DEM data available. The generalized maps remove or smooth out minor landforms while preserving more prominent landforms and eliminate issues of data gaps or interpolated data in lower resolution datasets.
Efficacy and Safety of Da-Chai-Hu-Tang in Lipid Profiles in High-Risk, Statin-Treated Patients with Residual HyperTG: A 12-Week, Randomized, Active-Control, Open Clinical Study

Da-Chai-Hu-Tang (DCHT) is a herbal extract that has been shown to reduce serum triglyceride (TG) levels in animal experiments as well as small clinical trials. This study aimed to evaluate the efficacy and safety of DCHT in high-risk, statin-treated patients with residual hypertriglyceridemia (hyperTG). This was a 12-week, randomized, active-controlled, open-label, single-center trial. Of these patients, 42 had high cardiovascular risks whose LDL cholesterol levels were controlled by statin treatment; however, with TG levels of 200 to 500 mg/dL they were randomly assigned 1:1 to the OMEGA3 or DCHT group. The primary endpoint was defined as the percentage change in TG at 12 weeks, and changes in other lipid profiles and endothelial cell function were included as secondary endpoints. Safety analyses were also conducted. In the OMEGA3 group, the average TG level decreased from 294.5 ± 72.0 to 210.0 ± 107.8 mg/dL (p = 0.004), and in the DCHT group, from 288.7 ± 59.1 to 227.5 ± 98.1 mg/dL (p = 0.001). The percentage change in TG was −27.6 ± 33.6 and −22.4 ± 24.1 (p = 0.58), respectively, and there was no significant difference between the two groups. There were no severe adverse events in either group. In high-risk, statin-treated patients with residual hyperTG, the administration of OMEGA3 or DCHT for 12 weeks resulted in a significant reduction in TG, and the effect of DCHT was not inferior to that of OMEGA3.
Prognostic Value of Creatine Phosphate and Inflammatory Markers for Mitral Valve Replacement: A Systematic Review and Meta-Analysis

Purpose The prognosis of mitral valve replacement is an important clinical issue and may produce unexpected mortality rates if not properly addressed. The postoperative examination results have important prognostic implications. This study was designed to determine the prognostic value of phosphocreatine and inflammatory markers after mitral valve replacement. Method Comparison and analysis of the data obtained using SPSS software. The computer retrieved PubMed, Science Citation Index (SCI), Embase, VIP, CNKI, CBM, and Wanfang database and manually retrieved randomized controlled trials (RCTs) published at home and abroad on the central muscle protection role of creatine phosphate in heart valve replacement, and the search period was established until February 2018. Two random literature reviewers independently screened the literature and extracted data, using Review Manager (RevMan) (Computer program), version 5.3 (The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, 2014). RevMan software version 5.0 assesses the risk of bias for inclusion in studies. The software performs a meta-analysis of the obtained data. Results Ten RCTs with a total of 464 participants were enrolled. The meta-analysis results showed that (1) elevated creatine kinase levels often predict a better prognosis after mitral valve replacement (RR = 1.36, 95% CI: 1.22 to 1.52, P < 0.00001), (2) the creatine kinase isoenzyme level in the venous blood of the phosphocreatine group after 24 h of aortic blocking was significantly lower than that in the control group (SMD = −2.90, 95% CI: -5.19 to -0.60, P = 0.01), and (3) Troponin I levels were significantly lower in the intravenous creatine group than in the control group 24 h after opening of the aortic block (SMD = −1.49, 95% CI: -2.02 to -0.97,P < 0.00001). Conclusions Creatine phosphate and inflammatory factor have good predictive value for the prognosis of mitral valve replacement.
A STUDY ON SOCIAL MEDIA ADDICTION AMONG YOUTH OF GUJARAT USING FACTOR ANALYSIS

This research is on the addition of social media among the youth of Gujarat. A questionnaire was made on google forms for collecting data. Convenience and snowball sampling technique was used as the data was collected by just sending google forms to the valid population. The valid population includes people having age between 15 and 25 and must be from Gujarat state as the research is limited to the youth of Gujarat state only. A sample of 253 people of Gujarat was taken. 4 responses were not taken in the analysis as they are not using social media. Factor analysis was run to the data of 248 responses on SPSS. Fourteen statements were classified into four factors according to factor loadings.
Perception of Different Tone Contrasts at Sub-Lexical and Lexical Levels by Dutch Learners of Mandarin Chinese

This study explores the difficulties in distinguishing different lexical tone contrasts at both sub-lexical and lexical levels for beginning and advanced Dutch learners of Mandarin, using a sequence-recall task and an auditory lexical decision task. In both tasks, the Tone 2-Tone 3 contrast is most prone to errors for both groups of learners. A significant improvement in the advanced group was found for this tone contrast in the sub-lexical sequence recall task, but not in the lexical decision task. This is taken as evidence that utilizing tones in on-line spoken word recognition is more complex and demanding for L2 learners than in a memory-based task. The results of the lexical decision task also revealed that advanced learners have developed a stronger sensitivity to Tone 1 compared to the other three tones, with Tone 4 showing the least sensitivity. These findings suggest different levels of robustness and distinctiveness for the representation of different lexical tones in L2 learners’ lexicon and consequently different levels of proficiency in integrating tones for lexical processing. The observed patterns of difficulty are potentially related to the acoustic characteristics of different lexical tone contrasts as well as to the interference of the suprasegmental features of learner’s native language (i.e., the tonal contrasts of Dutch intonation) on the acquisition of the Mandarin lexical tone contrasts.
Dynamic Legged Robots for Use in Multiple Regimes

Animals have demonstrated that legged locomotion can provide an efficient, rapid and robust means for traversing natural and artificial terrains and obstacles while employing several distinct locomotion modalities. This has led researchers to develop biologicallyinspired, legged systems that improve the mobility of robotic platforms on rough terrain as compared to traditional wheeled and tracked systems. While several effective, dynamical legged robots have been developed, they still are a step behind their biological counterparts in terms of speed, efficiency, and, in particular, versatility. A contributing factor is that these platforms are designed and optimized to utilize a single locomotion modality and are not capable of traversing the variety of terrains found in the natural world, whereas many biological creatures are capable of multi-modal locomotion. This motivates the exploration of the principles that will enable the development of biologically-inspired, dynamical legged robots capable of utilizing multiple locomotion modalities. This dissertation focuses on several topics related to the development of biologicallyinspired, multi-modal platforms. In particular, a focus is made towards the extension of a dynamic scaling method for dynamical legged systems, the assessment of dynamic stability metrics for use on experimental platforms and the design and characterization of the first legged, robotic platform capable of dynamical, biologically-inspired locomotion in multiple domains. The resulting insights from this work will foster an improved understanding of multi-modal robotic locomotion and provide a set of tools for designing and characterizing future robotic platforms.
Reviewing textile wastewater produced by industries: characteristics, environmental impacts, and treatment strategies

The textile industry is one of the most intensive industries in chemical products whose wastewater contains hazardous dyes, pigments, dissolved/suspended solids, and heavy metals. Hence, it is important to effectively treat the wastewater generated by this industry before releasing it into the environment. Though the field of textile wastewater treatment has made tremendous progress, the developed treatment methods should be improved further to make them economically viable and friendly. In this review, characteristics of textile wastewater are introduced. We have primarily focused on the environmental impact and toxicity of textile wastewater. Toxic and harmful contaminants must be removed from textile wastewater to reduce the extent of environmental pollution caused when textile wastewater is released into rivers or reused. Hence, various techniques that are used to treat textile wastewater are discussed. Finally, the challenges faced, and prospects of the methods have been discussed in detail.
Breast Cancer Subtype-Specific miRNAs: Networks, Impacts, and the Potential for Intervention

The regulatory and functional roles of non-coding RNAs are increasingly demonstrated as critical in cancer. Among non-coding RNAs, microRNAs (miRNAs) are the most well-studied with direct regulation of biological signals through post-transcriptional repression of mRNAs. Like the transcriptome, which varies between tissue type and disease condition, the miRNA landscape is also similarly altered and shows disease-specific changes. The importance of individual tumor-promoting or suppressing miRNAs is well documented in breast cancer; however, the implications of miRNA networks is less defined. Some evidence suggests that breast cancer subtype-specific cellular effects are influenced by distinct miRNAs and a comprehensive network of subtype-specific miRNAs and mRNAs would allow us to better understand breast cancer signaling. In this review, we discuss the altered miRNA landscape in the context of breast cancer and propose that breast cancer subtypes have distinct miRNA dysregulation. Further, given that miRNAs can be used as diagnostic and/or prognostic biomarkers, their impact as novel targets for subtype-specific therapy is also possible and suggest important implications for subtype-specific miRNAs.
A Gene Expression Clustering Method to Extraction of Cell-to-Cell Biological Communication

Graph-based clustering identification is a practical method to detect the communication between nodes in complex networks that has obtained considerable comments. Since identifying different communities in large-scale data is a challenging task, by understanding the communication between the behaviors of the elements in a community (a cluster), the general characteristics of clusters can be predicted. Graph-based clustering methods have played an important role in clustering gene expression data because of their ability to show the relations between the data. In order to be able to identify genes that lead to the development of diseases, the communication between the cells must be established. The communication between different cells can be indicated by the expression of different genes within them. In this study, the problem of cell-to-cell communication is expressed as a graph and the communication are extracted by recognizing the communities. The FANTOM5 dataset is used to simulate and calculate the similarity between cells. After preprocessing and normalizing the data, to convert this data into graphs, the expression of genes in different cells was examined and by considering a threshold and Wilcoxon test, the communication between them were identified through using clustering.
Secretary back syndrome.

: Secretary Back Syndrome, the title appropriate and descriptive, the concept original and useful, describes an intermittent, recurrent, symmetrical low-back pain induced by swivel-chair exposure. The swivel chair, by its very mechanical nature, frequently invites poor posture, causing a symmetrical, recurrent, lumbo-sacral strain. Swivel-chair exposure, transiency and recurrence of low-back pain, i.e. weekend and vacation recovery, physical finding of symmetrical low-back tenderness and spasm, and relatively unremarkable X-ray findings, all serve to support the above stated syndrome. The treatment requires abstinence of swivel-chair exposure, an obvious, to-date, hidden occupational hazard, and a switch to the time-honored stationary chair in order to affect a total and permanent recovery. Secretary Back Syndrome is a valuable diagnostic concept if appropriately suspected and included in the differential diagnosis and treatment of low-back pain.
PREDICTING OF FINANCIAL DISTRESS WITH THE ALTMAN Z-SCORE MODEL OF RETAIL COMPANIES LISTED ON IDX

This research aims to examine and analyze the impact of current ratio, return on assets, debt to asset ratio, and total asset turnover rate on the estimated financial distress status of retail trading companies listed on the Indonesian stock exchange. This research is a quantitative research. The data used in this study are second hand data. The totality of this research is the retail trade sub-sector companies that were listed on the Indonesian Stock Exchange from 2015 to 2019. The sampling technique is purposeful sampling, with a total of 17 companies. The analysis method used is logistic regression analysis. The results of this research analysis have a significant impact on the variable current ratio, asset return, asset liability ratio and total asset turnover. In part, the current ratio variable has a negative and significant effect, the asset return rate variable has a negative and significant effect, the asset liability ratio variable has a negative and insignificant effect, and the total asset turnover rate variable has a negative and significant effect. Estimate the financial distress status of companies in the retail trading sub-sector listed on the Indonesian Stock Exchange.Keywords: Financial distress, Current Ratio, Return On Assets, Debt to Assets Ratio, Total Assets Turnover
Retrospective evaluation of patients with cervical spinal cord stimulator.

OBJECTIVES Chronic pain is a cause that negatively affects quality of life and functional capacity. Spinal cord stimulation is used for various painful indications such as failed back surgery syndrome, complex regional pain syndrome (CRPS), and peripheral vascular disease (PVD). Our aim is to retrospectively investigate the effectiveness of cervical spinal cord stimulator therapy in nine patients. METHODS Nine patients with chronic pain in the upper extremity who did not benefit from medical (pharmacological, physical therapy, etc.) and algological interventional procedures (such as nerve blocks) were included in the study. Cervical spinal cord stimulator was applied to these patients in our pain clinic between January 1, 2016, and January 1, 2019. The pain levels and analgesic and antiepileptic drug doses of the patients before and after the procedure were analyzed. RESULTS The mean age of patients was 51.8±14.6% (29-76), 44.4% (4) were female and 55.6% (5) were male. Indications for cervical spinal cord stimulator insertion were CRPS type 1 (five patients), CRPS type 2 (two patients), previous neck surgery (one patient), and pain syndrome due to PVD (one patient). After the procedure, we saw a statistical decrease in the pain levels and drug doses of the study patients. SPSS 22.0 statistics package program was used to evaluate the data. NPar and Friedman tests were used for comparisons. Continuous variables are given as mean±standard deviation. p<0.05 was considered statistically significant. CONCLUSION Cervical spinal cord stimulator is an effective method in the treatment of neck and upper extremity chronic pain.
Child and Adolescent Psychiatric Inpatient Care: Contemporary Practices and Introduction of the 5S Model

ABSTRACT Children and adolescents admitted to psychiatric inpatient units typically present with severe psychopathology, trauma histories, and risk to self or others. Unfortunately, inpatient care has proven to be largely ineffective in changing the course of mental illness for these youth, with many experiencing readmission or continued risk following discharge. A critical examination of child and adolescent psychiatric inpatient practices, and guiding models of care, are greatly needed. This comprehensive review provides an overview of contemporary inpatient care, highlighting specific areas where empirically-informed guidance is present and lacking. The content reviewed includes: scope and structure of inpatient care, intake and evaluation, safety and security, therapeutic interventions, and discharge planning. Following our review, we present the 5S model as a guiding framework for inpatient care and continued research. Lastly, given the critical importance of inpatient care and the sparse empirical literature in this area, we issue a call for research investigating all aspects of inpatient care from admission to post-discharge.
Dosimetric Comparison of Intensity-Modulated Radiation Therapy (IMRT) and Intensity-Modulated Proton Therapy (IMPT) for a Novel Oral Tongue Avoidance Concept in Low-Risk Squamous Cell Carcinoma of the Oral Tongue

Purpose After adequate surgical resection, early-stage oral tongue cancer patients can harbor a low risk of local recurrence but remain at risk of regional recurrence. Oral tongue avoidance during adjuvant radiation therapy is an attractive potential treatment strategy to mitigate treatment toxicity. We sought to quantify the dosimetric advantages of this approach and hypothesized that intensity-modulated proton therapy (IMPT) may further reduce organs at risk doses compared with intensity-modulated radiation therapy (IMRT). Materials and Methods Five patients with oral tongue cancer treated with postoperative radiation therapy from August 2020 to September 2021 were retrospectively reviewed. Novel clinical target volume contours, excluding the oral tongue, were generated while maintaining coverage of bilateral at-risk lymph nodes. Comparison IMRT (X) and IMPT (PBT) plans were generated using standard treatment volumes (control) and avoidance volumes (study) (n = 4 plans/patient). Dosimetric variables for organs at risk were compared using the paired t test. Results The prescribed dose was 60 Gy in 30 fractions. D95% clinical target volume coverage was similar between X and PBT plans for both control and study clinical target volumes. Comparing control with study plans, both X (58.9 Gy vs 38.3 Gy, P = .007) and PBT (60.2 Gy vs 26.1 Gy, P < .001) decreased the oral cavity dosemean. The pharyngeal constrictor dosemean was also reduced (P < .003). There was no difference between control and study plans for larynx (P = .19), parotid (P = .11), or mandible dose (P = .59). For study plans, PBT significantly reduced oral cavity dosemean (38.3 Gy vs 26.1 Gy, P = .007) and parotid dosemean (23.3 Gy vs 19.3 Gy, P = .03) compared with X. For control plans, there was no difference in oral cavity dosemean using PBT compared with X, but PBT did improve the parotid dosemean (26.6 Gy vs 19.7 Gy, P = .02). Conclusion This study quantifies the feasibility and dosimetric advantages of oral tongue avoidance while still treating the at-risk lymph nodes for oral tongue cancer. The dosimetric difference between PBT and X was most prominent with an oral tongue–avoidance strategy.