Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of structured Om chanting and listening program on psychological parameters in pre-hypertensive women

Background: Om chanting was reported to lower blood pressure acting through parasympathetic system. It was hypothesized that listening to Om along with chanting may have additional benefits. Aims and Objectives: The study was designed to observe the effectiveness of Om chanting and listening on depression, anxiety, and stress in pre-hypertensive women. Materials and Methods: The present study is an experimental study. Eighty cases of newly diagnosed pre-hypertensive women between the age of 25 and 40 years were included in the study after obtaining written informed consent. They were randomly assigned to waitlist and Om chanting groups with 40 participants in each group. After recording the baseline values, corresponding intervention will be given to the participants of intervention groups for a period of 3 months. Results: There was a significant decrease in the depression, anxiety, and stress scores in the intervention group when compared with the waitlist group. Conclusion: There was a significant decrease in the depression, anxiety, and stress scores followed by the practice of Om chanting. The study recommends further detailed studies in this area to recommend the potential role of Om chanting in clinical practice.
Posterior medial frontal cortex regulates sympathy: A TMS study

ABSTRACT Harm to some elicits greater sympathy than harm to others. Here, we examine the role of posterior medial frontal cortex (PMFC) in regulating sympathy, and explore the potential role of PMFC in the related phenomena of mentalizing and representing others as connected with oneself. We down-regulated either PMFC or a control region (middle temporal visual area), then assessed feelings of sympathy for and self-other overlap with two characters described as having suffered physical harm, and who were framed as adversarial or affiliative, respectively. We also measured mentalizing performance with regard to inferring the cognitive and affective states of the adversarial character. As hypothesized, down-regulating PMFC increased sympathy for both characters. Whereas we had predicted that down-regulating PMFC would decrease mentalizing ability given the postulated role of PMFC in the mentalizing network, participants in the PMFC down-regulation condition evinced greater second-order cognitive inference ability relative to controls. We observed no effect of the TMS manipulation on self-other overlap, although sympathy and self-other overlap were positively correlated. These findings are discussed as they may inform understanding of the functional role(s) of PMFC in regulating responses broadly linked with empathy.
A Time-Domain Binary CNN Engine With Error-Detection-Based Resilience in 28nm CMOS

Due to the increasing demand of high energy-efficient processor for deep neural networks, traditional neural network engines with high-precision weights and activations that usually occupies huge on/off-chip resources with large power consumption are no longer suitable for Internet-of-Things applications. Binary neural networks (BNNs) reduce memory size and computation complexity, achieving drastically increased energy efficiency. In this brief, an energy-efficient time-domain binary neural network engine is optimized for image recognition, with time-domain accumulation (TD-MAC), timing error detection based adaptive voltage scaling design and the related approximate computing. The proposed key features are: 1) an error-tolerant adaptive voltage scaling system with TD-MAC chain truncation for aggressive power reduction, working from near-threshold to normal voltage; 2) architectural parallelism and data reuse with 100% TD-MAC utilization; 3) low power TD-MAC based on analog delay lines. Fabricated in a 28nm CMOS process, the whole system achieves a maximum 51.5TOPS/W energy efficiency at 0.42V and 25MHz, with 99.6% accuracy on MNIST dataset. When the length of the TD-MAC chain is truncated by configuration, with a 90% accuracy on MNIST and a 150MHz, the proposed BNN achieves a power-saving of 13.2% and a further energy efficiency increasing of 67.6%.
Populationsdynamische Grundlagen der Ertragsbildung in angelfischereilich genutzten Fischbeständen: Schlussfolgerungen für die Wirkungsweise von Entnahmebestimmungen und Fischbesatz

Fischpopulationen regulieren sich uber drei wesentliche Prozesse: Wachstum, Rekrutierung und Sterblichkeit. All diese Raten sind dichte- und grosenabhangig; sie werden also durch die Entnahme von Biomasse uber die Fischerei oder durch Besatz in charakteristischer Weise verandert. Ein Resultat der dichteabhangigen Populationsregulation ist die Fahigkeit von Fischen, die Biomasseentnahme als Fischertrag in gewissen Grenzen zu kompensieren oder die Zugabe von Individuen uber Besatz zu regulieren. Die Kenntnis ausgewahlter populationsdynamischer Details ist daher fur die Einschatzung der Wirkungsweise von Fischschonbestimmungen wie Mindestmase oder Entnahmefenster und den Fischbesatz von entscheidender Bedeutung. Fazit fur die Praxis Auf der Grundlage einer Literaturwurdigung historischer und aktueller wissenschaftlicher Arbeiten zur Populationsdynamik genutzter Fischbestande, werden folgende Empfehlungen fur die fischereiliche Hege in der Angelfischerei abgeleitet: Mindestmase sind nicht pauschal die besten Entnahmebestimmungen. Wegen der unterschatzten Bedeutung groser Laichfische fur die Bestandserneuerung und die Stabilitat von Bestanden sowie ihrer grosen sozialen Bedeutung ist ihre verstarkte Schonung wichtig, z. B. uber Entnahmefenster oder andere Masnahmen, die die Fischereisterblichkeit reduzieren. Der Erfolg von Besatz ist zentral davon abhangig, ob der zu stutzende Fischbestand naturlich reproduziert oder nicht und ob die zu besetzenden Grosen so gros sind, dass sie nicht mehr uber dichteabhangige Sterblichkeit reguliert werden. Die optimale Satzfischgrose ist daher bestands- und gewasserabhangig und kann daher nicht pauschalisiert werden. Jungfische stellen nicht zwangslaufig das beste Satzfischmaterial dar.
Clinical profile of hypoglycemia in emergency department of tertiary care hospital: A single center study

Background: Hypoglycemia is an endocrine emergency which presents with a variety of symptoms ranging from impaired cognitive function to convulsions, coma and death. This study would ascertain the causes, and also the frequency of presentation of hypoglycaemia in subjects presenting to a city accident and emergency department of a tertiary care hospital. Methodology: A retrospective review of records of case papers of hypoglycemic cases (HGT/RBS <70mg/dl) from January 2015 to December 2015 was conducted to gather data on patient age, gender, HGT (RBS), past history of liver cirrhosis, chronic kidney disease, concomitant infection or other causes of febrile illness, concomitant malignancy, concomitant stroke, lack of recent meal. A total of 91 cases were enrolled in our study. All values were recorded from patients’ ED case papers. Patients with RBS levels less than 70mg/dl were included in the study. Elderly age was defined as an age above 65years old. Neonatal and pediatric patients (age less than 18 years old) were excluded. Results: Hypoglycemia is related to several co-morbidities. In total, 84 of the patients had Diabetes and 44 were on OHA, 37 on Insulin or both. 2 had liver cirrhosis and 29 had underlying CKD, 23 had fever in past 48 hours 24 had missed recent meal and/or 28 had anorexia secondary to underlying illness, 12 had cerebrovascular event, 11 were concomitant with malignancy, 4 unknown etiology or data missing. Conclusion: When Hypoglycemic patients present to Emergency department, emergency physicians should pay attention to the presence of infection, malignancy, liver diseases and renal failure. Greater emphasis on intensive glycemic control and Insulin with OHAs has resulted in increased emergency department visit rates for hypoglycemia.
Effect of Feeding Rice based Brewer’s by Product “Juglee” on Growth and Haematological Parameters of Hampshire X Assam Local Grower Pigs

Pigs are traditionally reared by the tribal population of North East India and it has the potential to act as a change-agent of the rural economy. The market demand of pork is very huge as more than 75 per cent of the population consume pork. Intensification of agricultural farming system has led the erstwhile traditional scavenging system of pig rearing to transform into semi-intensive or intensive system of pig farming. This transformation is labour and input intensive resulted in higher cost of production especially the feed cost. Searching for low cost and easily available alternative feed ingredients to minimize the cost of feeding has appeared as the need of the hour. Incorporation of locally available unconventional feed may be one of the solutions to reduce feed cost. Rice beer is a traditional beverage prepared by the native International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 10 Number 02 (2021) Journal homepage: http://www.ijcmas. com
Maximum-Likelihood Deletion Error Location for Decoding Marker Guess & Check Codes

Guess & check (GC) codes can correct multiple deletions with high probability by guessing all possible deletion patterns at a polynomial complexity. This paper investigates an efficient way of guessing deletion patterns with the aid of markers. The marker are inserted as block identifiers into GC codewords and examined for implementing maximum-likelihood inference of deletion patterns in trellis graph. The resulting number of guesses for decoding marker GC codes can be reduced significantly by an increasing order of magnitude as the code length grows.
THE INFLUENCE OF HUMAN RESOURCES ACCOUNTING ON THE PERFORMANCE OF NIGERIA'S LISTED CONSUMER GOODS COMPANIES

The effect of human resources accounting practices on the performance of Nigerian consumer goods companies was investigated in this study. The study's population consists of thirty (30) publicly traded consumer goods companies in Nigeria. Using the filter criterion, twenty-four (24) of the identified consumer goods were sampled. Secondary data were compiled from selected firms' annual reports and accounts for six (6) years' worth of financial periods, spanning from 2013 to 2018. Using the multiple regression analysis method, the collected data was analysed. The study's findings revealed that the number of employees working during the time and overall assets have a positive relationship with the performance of Nigeria's publicly traded consumer goods companies. The study's findings revealed that leverage and the firm's age are negatively related to the performance of listed consumer goods firms in Nigeria. Furthermore, the study discovered that employee expansion and government (VAT) have no substantial relationship with the performance of Nigeria's publicly traded consumer goods firms. As a result, the study recommends that management of publicly traded consumer goods companies should weigh the number of employees when hiring because the larger the workforce, the higher the efficiency and profit potential of the company. Furthermore, management of publicly traded consumer goods companies should focus on providing sufficient total assets, as this leads to the generation of more economic gain to the company, resulting in increased profits.
A comparison of propofol with ketofol for sedation quality and side effects in patients undergoing colonoscopy.

Colonoscopy is an endoscopic method and ıt is better to perform this procedure under sedoanalgesia in order to eliminate patients’ anxiety, the colic-like pain and discomfort that occur during the procedure [1]. The aim of this study was to compare the effects of propofol and propofol+ketamine (ketofol) on sedation and side effects in patients undergoing colonoscopy. Material-Method: 50 patients with ASA I-II that are between the ages of 18-65. The patients in the propofol group and Ketofol group were given 0.1mL/kg of drug and/or combination of drugs. The vital parameters, injection pain, spontaneous time of opening eyes, the time of Modified Aldrete Score (MAS) ≥ 9 and the amount of medication used during the procedure and in the recovery room were recorded. Results: There was no significant difference between the two groups during the procedure and in the recovery room (p<0.05). It was shown that the ketamine reduces the amount of propofol by 50% and propofol induced injection pain. Ketofol had no positive effects on hemodynamic and respiratory parameters. Conclusion: We assert that the ratio of combinations will vary depending on the necessary sedation level and analgesic need of the procedure to be performed and depending on the frequency of the administration of additional doses. Although ketofol is being used in different procedures and different age groups in the recent years, there is still need for studies conducted with different drug dosages of this combination.
Audit Lag, Tenure, Age, Size, Profitability and Solvent Resistance to Stock Volatility with Public Accountant Reputation as Moderation

Accordance with the principle of transparancy of financial statements and annual reports announce by the public company as an important element to avoid the gap time that might causing potentially negative effects information for investors, which thus delayed information phenomenon of the annual report issuer's in year 2019 recorded still reaching 2.4 highest from the year 2018, while the largest increase delayed reporting in the year 2020 for financial performance year end 2019 occurs because of covid-19 pandemic. The research will be conducted on a group of manufacturing companies listed on the Indonesia Stock Exchange with period year 2015 until 2020 and not included in the delisting list until the year 2020. The results obtained audit report lag has significant effect on the stock volatility. Keywords: Audit Tenure, Lag, Age, Size, Profitability, Solvability, Stock Volatility
Development of a Best Answer Recommendation Model in a Community Question Answering (CQA) System

In this work, a best answer recommendation model is proposed for a Question Answering (QA) system. A Community Question Answering System was subsequently developed based on the model. The system applies Brouwer Fixed Point Theorem to prove the existence of the desired voter scoring function and Normalized Google Distance (NGD) to show closeness between words before an answer is suggested to users. Answers are ranked according to their Fixed-Point Score (FPS) for each question. Thereafter, the highest scored answer is chosen as the FPS Best Answer (BA). For each question asked by user, the system applies NGD to check if similar or related questions with the best answer had been asked and stored in the database. When similar or related questions with the best answer are not found in the database, Brouwer Fixed point is used to calculate the best answer from the pool of answers on a question then the best answer is stored in the NGD data-table for recommendation purpose. The system was implemented using PHP scripting language, MySQL for database management, JQuery, and Apache. The system was evaluated using standard metrics: Reciprocal Rank, Mean Reciprocal Rank (MRR) and Discounted Cumulative Gain (DCG). The system eliminated longer waiting time faced by askers in a community question answering system. The developed system can be used for research and learning purposes.
Analysis of the Socio-environmental Management of Covid 19 in Perú

The objective of this article is to analyze the management of Covid-19 from a socio-environmental perspective, with a scientific, holistic and adaptive approach. On March 16 of 2020, the Peruvian government began to implement measures to slow the spread of the virus and allow time to strengthen the public health system and after 9 months the results have placed the country among the first places in the mortality rate world level. The basic lines of action of the Peruvian government have been focused on: reducing crowds, stocking up with hospital supplies and detecting infected. However, we identified that the actions corresponding to such basic lines lacked scientific support, were academically biased and inappropriate to the context. Our analysis has been accompanied by proposals that should have been applied in the initial phase of the proliferation of the virus, each of these proposals are designed based on scientific interdisciplinarity and adapted to the geographical and cultural heterogeneity of Peru. It is concluded that decision making must be in accordance with the different realities of the country and that since it is a diverse country, these decisions must be approached seeking the benefit of the entire population.
Resilient Operation of Distribution Grids Using Deep Reinforcement Learning

This article utilizes deep reinforcement learning to develop an intelligent resilience controller (IRC) that devises fast real-time operation decisions to strategically dispatch distributed generation and energy storage units for restoring power to customers after sudden outages. The proposed IRC learns the failure development pattern of uncertain high-impact events and is able to explore a large action space in the partially observable state space of distribution grids under widespread outages. A spatiotemporal hurricane impact analysis model is presented as an example of uncertain high-impact events, and its parameters are used in training the IRC model and preparing it for similar events. In the proposed model, the distribution grid operation under uncertainty is modeled as a Markov decision process (MDP), and actions taken by the operator are rewarded based on operation costs. Since the number of distributed energy resources can be significant, the scalability issue of the method is addressed by reformulating the problem as a sequential MDP. The proposed model is implemented on a test distribution grid undergoing a hurricane, and its performance is compared with common operation strategies, indicating the superiority of the proposed model in terms of reduced operation cost and close to zero running time. Further analysis shows the adaptability of the proposed model to hurricanes of various intensities.
Prognostic significance of preoperative Naples prognostic score on short- and long-term outcomes after pancreatoduodenectomy for ampullary carcinoma.

Background The Naples prognostic score (NPS) is an effective and objective tool to assess the immune-nutritional status of patients with malignant tumors. The aim of this study was to investigate the clinical significance of preoperative NPS on short- and long-term outcomes after pancreatoduodenectomy (PD) for ampullary carcinoma. Methods We retrospectively analyzed 404 consecutive patients with ampullary carcinoma who underwent PD between January 2012 and June 2018. Preoperative NPS was calculated from serum albumin and total cholesterol concentrations, and the neutrophil-lymphocyte ratio and lymphocyte-monocyte ratio (LMR). Patients were then divided into three groups according to their NPS. Clinicopathological variables, postoperative outcomes, and survival data were compared between the three groups. Univariate and multivariate Cox analysis of overall survival (OS) and recurrence-free survival (RFS) were also conducted, and time-dependent receiver operating characteristic (ROC) curves were created to evaluate the discriminatory ability of the prognostic scoring systems. Results Patients with higher NPS had worse prognosis, and significant OS difference (group 0 vs. 1, P=0.02; group 1 vs. 2, P<0.001; group 0 vs. 2, P<0.001) and RFS difference (group 0 vs. 1, P=0.088; group 1 vs. 2, P<0.001; group 0 vs. 2, P<0.001). Multivariate analysis revealed that NPS was an independent significant predictor of OS (grade 2 vs. grade 1 or 0, hazard ratio: 3.067; P<0.001) and RFS (grade 2 vs. grade 1 or 0, hazard ratio: 2.732; P<0.001). The time-dependent receiver operating curve analysis showed that NPS had better prognostic performance for OS and RFS than other prognostic models. Additionally, significant differences in the incidence of postoperative morbidity were observed between the three groups, and the NPS was an independent risk factor of overall postoperative complications (grade 2 vs. grade 1 or 0, odds ratio: 1.692; P=0.02). Conclusions The NPS was an independent predictor of overall- and RFS in patients undergoing PD for ampullary carcinoma, and was independently associated with the incidence of postoperative complications.
Antioxidant capacities of vegetables consumed in north east India assessed by three different in vitro assays

The antioxidant capacity of the vegetables consumed in North East India was estimated by three different in vitro methods. A total of 22 (twenty two) vegetables were evaluated using the extracts for their ability to scavenge the 1,1-diphenyl-2-picryl-hydrazyl (DPPH) radicals, ability to reduce ferric ions determined by Ferric Reducing Antioxidant Potential (FRAP) assay and Total phenolic content. The antioxidant capacity was expressed as mg Trolox equivalents for DPPH radicals scavenging and FRAP assay while the total phenolic content was expressed as mg Gallic acid equivalent (GAE) per 100 gm of edible portion of the vegetables. The antioxidant capacity of the vegetables estimated by the three methods does not vary markedly though the values of total phenolic content was slightly higher compared to that of the other two methods. The highest antioxidant capacity was observed in stink bean and least in cucumber. Based on the antioxidant capacity, the vegetables were grouped into four categories i.e. extremely high, high, medium and low. Stink bean (Parkia speciosa) showed an extremely high antioxidant activity in all the three methods. The vegetables with high antioxidant capacity includes bean leaves, brinjal, mustard leaves, potato and pea while pumpkin leaves, radish, tomato, naga chilli, small chilli and hyacinth bean fall in medium and okra, broccoli, banana flower, cabbage, turnip, common beans, cauliflower, carrot and cucumber in low category.
Interactive 3-D visual analysis of ERA 5 data: improving diagnostic indices for marine cold air outbreaks

Abstract. We inspect the 3-D structure of Marine Cold Air Outbreaks (MCAOs) and Polar Lows (PLs) in ERA5 data with the aim of improving diagnostic indices to capture these weather events in long-term assessments on seasonal and climatological time-scales. For this study, we designed a workflow that starts with the interactive 3-D visual exploration of single MCAO and PL events, using an extended version of the open-source visualization framework Met.3D, followed by the design and statistical testing of new diagnostic indices in long-term assessments. Results from the interactive visual data exploration provide insights into the complex 3-D shape and dynamics of MCAOs and PLs in ERA5 data. Motivated by the visual analysis of single cases, we extend widely-used diagnostics by conceptualizing a simple index to capture the vertical extent of the lower-level instability induced by MCAOs. Testing the association of diagnostic indices with observed PLs in the Barents and the Nordic Seas (STARS data) shows that, the new MCAO index introduced here has an important advantage: it is a more skillful indicator for distinguishing the times and locations of PLs, compared with previously-used indices. We thus propose the new index for further analyses in seasonal climate predictions and climatological studies. The methods for interactive 3-D visual data analysis presented here are available as a generic open-source tool for investigating atmospheric processes in ERA5 and other gridded meteorological data.