Miracle-dz/UniFAR-FTUs huggingface dataset:
Dilated Convolutional Model for Melody Extraction

Melody extraction is a challenging task in music information retrieval that enables many down-stream applications. In this paper we propose a simple dilated convolutional model for melody extraction. It takes variable-q transforms as inputs. It first uses consecutive layers of convolution to capture local temporal-frequency patterns. Afterward, it relies only a single layer of dilated convolution for capturing global frequency patterns formed by the pitches and harmonics of active notes. This model is effective in that it achieves the-state-of-the-art performance on most datasets, for both general and vocal melody extraction. In addition, it gets the best performance with the least training data.
Detection of Frauds and Other Non-technical Losses in Power Utilities using Smart Meters: A Review

Abstract Analysis of losses in power distribution system and techniques to mitigate these are two active areas of research especially in energy scarce countries like Pakistan to increase the availability of power without installing new generation. Since total energy losses account for both technical losses (TL) as well as non-technical losses (NTLs). Utility companies in developing countries are incurring of major financial losses due to non-technical losses. NTLs lead to a series of additional losses, such as damage to the network (infrastructure and the reduction of network reliability) etc. The purpose of this paper is to perform an introductory investigation of non-technical losses in power distribution systems. Additionally, analysis of NTLs using consumer energy consumption data with the help of Linear Regression Analysis has been carried out. This data focuses on the Low Voltage (LV) distribution network, which includes: residential, commercial, agricultural and industrial consumers by using the monthly kWh interval data acquired over a period (one month) of time using smart meters. In this research different prevention techniques are also discussed to prevent illegal use of electricity in the distribution of electrical power system.
Railway automatic safety protection system based on GPS

The automatic protection system of railway safety is designed for the railway construction workers to protect alarm, and the safety protection device by using GPS satellite positioning system to acquire location information of the operating point, through the CTC/TDCS system and computer monitoring system for the running of the train position and the arithmetic distance. Achieving timely and continuously forecasts about the distance of the train which is apart from the operating point to prompt the voice alarm of the approaching train. Using digital technology to realize the function of the traditional analog interphone, eliminates the quality problems of the call. With the GSM-R, mobile wireless transmission channel and terminal technology, it overcomes the restrictions of the analog interphone which influenced by communication distance and more problems of blind areas. Finally to achieve practical, convenient, applicable and adaptable design goals.
The contribution of organisational factors to vicarious trauma in mental health professionals: a systematic review and narrative synthesis

ABSTRACT Background The negative impact of trauma work has been well documented in mental health professionals. There are three main phenomena used to describe these effects: Secondary Traumatic Stress (STS), Vicarious Trauma (VT) and Compassion Fatigue (CF). To date, the majority of research has focused on the contribution of individual level factors. However, it is imperative to also understand the role of organizational factors. Objectives This review examines the role of organizational factors in ameliorating or preventing STS, VT, and CF in mental health professionals. We further aimed to identify specific elements of these factors which are perceived to be beneficial and/or detrimental in mitigating against the effects of STS, VT, and CF. Method Studies were identified by searching the electronic databases Medline, PsycINFO, Embase, Web of Science and SCOPUS with final searches taking place on 10 March 2021. Results Twenty-three quantitative studies, eight qualitative studies, and five mixed methods studies were included in the final review. A narrative synthesis was conducted to analyse the findings. The results of the review highlight the importance of regular supervision within supportive supervisory relationships, strong peer support networks, and balanced and diverse caseloads. The value of having an organizational culture which acknowledges and validates the existence of STS was also imperative. Conclusions Organizations have an ethical responsibility to support the mental health professionals they employ and provide a supportive environment which protects them against STS. This review provides preliminary evidence for the types of support that should be offered and highlights the gaps in the literature and where future research should be directed. Further research is needed to evaluate which strategies – and under what conditions – best ameliorate and prevent STS. HIGHLIGHTS Organizations have a responsibility to protect mental health professionals from vicarious trauma. Regular supervision, peer support, diverse caseloads, specific trauma training, and a culture which validates vicarious trauma were identified as key protective factors.
Knowledge, attitudes and practice of clinicians managing chronic pain in a tertiary care facility

Background Chronic pain is a common clinical symptom and has a high socio-economic and health burden on patients, clinicians and the healthcare sector. Globally, clinicians continue to exhibit limited knowledge, negative attitudes and misconceptions about chronic pain, raising public health concerns. Objective Our study aimed to determine the level of knowledge, attitudes and practices of clinicians towards assessment and management of patients with chronic pain in a tertiary hospital. Methods This cross-sectional study at a tertiary care hospital in Kenya adopted a census method to recruit participants (n = 240). A questionnaire containing 77 items derived from the Revised Pain Knowledge and Attitudes Questionnaire (RPKAQ) and the Knowledge and Attitudes Survey regarding Pain (KASRP) was used to collect data. The questionnaire had three parts. Part A had six items to determine information on demographic characteristics. Part B and C had 54 and 23 items, respectively, that determined information on knowledge, attitudes and practice of clinicians managing chronic pain. Data were analysed using SPSS Version 24. Results Response rate was 83.3% (n = 153). Only 9% (n = 14) of the respondents were believed to have adequate knowledge and positive attitudes; 62% (n = 95) used best practice for cognitive/behavioural management of chronic pain. Few (9% n = 14) used best practice in the assessment and measurement of chronic pain. Conclusion There is inadequate knowledge, attitudes and practices amongst clinicians regarding assessment and management of chronic pain. Future research is needed in a wider population to compare these results. Clinical implication It may motivate clinicians to improve their level of knowledge, attitudes and practices for pain management, hence improving poor chronic pain outcome.
Analysis of influence of rotor design on high speed small power induction motors parameters

This paper presents the analysis of the influence of rotor design: massive or cage on high speed small power induction motors parameters. For these analyzes were used both field-circuit method and circuit analytical method. As could be predicted massive rotor motor is characterized by higher losses and thus less efficiency than the squirrel cage motor, especially with copper cage. Despite the massive motors are easier to manufacture and the specific construction may be used.
Genomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) dataset

Objective Recent studies have detailed the genomic landscape of endometrial cancer (EC); however, no study has focused on genetic alterations in advanced EC. We performed genomic profiling of patients with advanced EC using targeted next-generation sequencing (NGS). Methods Archival tissue samples from 21 patients diagnosed with stage III and IV EC were obtained and subjected to NGS. Our data and the cancer genome atlas dataset were combined, and somatic mutation patterns were analyzed and compared according to the stage and histological type. Additionally, survival effects of specific mutated genes were analyzed. Results Somatic mutation patterns of 38 genes were identified in 263 EC samples, and the most commonly mutated genes were PTEN and PIK3CA. PTEN was the most common in endometrioid histology, while PPP2R1A was the most commonly mutated gene in serous histology. The mutation rates of PPP2R1A and TP53 were significantly higher in advanced EC sample than in stage I samples (22.5% vs. 4.3% [p<0.001] and 8.4% vs. 1.4% [p=0.021], respectively). Survival analysis of the total population and endometrioid subgroup revealed that patients with PPP2R1A mutations had significantly shorter survival than did those without mutations (p=0.005 and p<0.001, respectively). Conclusion PPP2R1A mutations might have a role in dismal prognosis of advanced EC.
Time-Series Analysis of Water Demands in Three North Carolina Cities

AbstractThe timing of significant shifts in urban water use is highly relevant to water managers, who can better manage demand with an understanding of historic change. This study employs breakpoint and decomposition analyses to explore changes in water use for three North Carolina municipalities between 1990 and 2014. Although water demands were on the rise in each city during the early 1990s, per capita demands began to trend downward in the middle-to-latter years of that decade. The timing of this shift correlates with declines in manufacturing water uses. Per capita demand then remained stable from 2002 until 2007, when rates for all three cities shifted downward once again. This second shift follows the coordination and institutionalization of drought responses at the state level. Only Raleigh experienced another significant decline, with the implementation of conservation pricing in 2010. Moreover, while total withdrawals have remained stable for the cities of Durham and Greensboro since the mid-to-.
Continuous Autonomous Ship Learning Framework for Human Policies on Simulation

Considering autonomous navigation in busy marine traffic environments (including harbors and coasts), major study issues to be solved for autonomous ships are avoidance of static and dynamic obstacles, surface vehicle control in consideration of the environment, and compliance with human-defined navigation rules. The reinforcement learning (RL) algorithm, which demonstrates high potential in autonomous cars, has been presented as an alternative to mathematical algorithms and has advanced in studies on autonomous ships. However, the RL algorithm, through interactions with the environment, receives relatively fewer data from the marine environment. Moreover, the open marine environment causes difficulties for autonomous ships in learning human-defined navigation rules because of excessive degrees of freedom. This study proposes a sustainable, intelligent learning framework for autonomous ships (ILFAS), which helps solve these difficulties and learns navigation rules specified by human beings through neighboring ships. The application of case-based RL enables the participation of humans in the RL learning process through neighboring ships and the learning of human-defined rules. Cases built as curriculums can achieve high learning effects with fewer data along with the RL of layered autonomous ships. The experiment aims at autonomous navigation from a harbor, where marine traffic occurs on a neighboring coast. The learning results using ILFAS and those in an environment where random marine traffic occurs are compared. Based on the experiment, the learning time was reduced by a tenth. Moreover, the success rate of arrival at a destination was higher with fewer controls than the random method in the new marine traffic scenario. ILFAS can continuously respond to advances in ship manufacturing technology and changes in the marine environment.
VR-PEER: A Personalized Exer-Game Platform Based on Emotion Recognition

Motor rehabilitation exercises require recurrent repetitions to enhance patients’ gestures. However, these repetitive gestures usually decrease the patients’ motivation and stress them. Virtual Reality (VR) exer-games (serious games in general) could be an alternative solution to address the problem. This innovative technology encourages patients to train different gestures with less effort since they are totally immersed in an easy to play exer-game. Despite this evolution, patients, with available exer-games, still suffer in performing their gestures correctly without pain. The developed applications do not consider the patients psychological states when playing an exer-game. Therefore, we believe that is necessary to develop personalized and adaptive exer-games that take into consideration the patients’ emotions during rehabilitation exercises. This paper proposed a VR-PEER adaptive exer-game system based on emotion recognition. The platform contain three main modules: (1) computing and interpretation module, (2) emotion recognition module, (3) adaptation module. Furthermore, a virtual reality-based serious game is developed as a case study, that uses updated facial expression data and provides dynamically the patient’s appropriate game to play during rehabilitation exercises. An experimental study has been conducted on fifteen subjects who expressed the usefulness of the proposed system in motor rehabilitation process.
Evaluation of Antimicrobial Properties of Lichen Substances against Plant Pathogens

Plant pathogens pose major threats on agriculture and horticulture, causing significant economic loss worldwide. Due to the continuous and excessive use of synthetic pesticides, emergence of pesticide resistant pathogens has become more frequent. Thus, there is a growing needs for environmentally-friendly and selective antimicrobial agents with a novel mode of action, which may be used in combination with conventional pesticides to delay development of pesticide resistance. In this study, we evaluated the potentials of lichen substances as novel biopesticides against eight bacterial and twelve fungal plant pathogens that have historically caused significant phytopathological problems in South Korea. Eight lichen substances of diverse chemical origins were extracted from axenic culture or dried specimen, and further purified for comparative analysis of their antimicrobial properties. Usnic acid and vulpinic acid exhibited strong antibacterial activities against Clavibacter michiganensis subsp. michiganensis. In addition, usnic acid and vulpinic acid were highly effective in the growth inhibition of fungal pathogens, such as Diaporthe eres, D. actinidiae, and Sclerotinia sclerotiorum. Intriguingly, the growth of Rhizoctonia solani was specifically inhibited by lecanoric acid, indicating that lichen substances exhibit some degrees of selectivity to plant pathogens. These results suggested that lichen substance can be used as a selective biopesticide for controlling plant disease of agricultural and horticultural significance, minimizing possible emergence of pesticide resistant pathogens in fields.
Tso Morari Eclogites, Eastern Ladakh: Isotopic and Elemental Constraints on Their Protolith, Genesis, and Tectonic Setting

The Tso Morari Crystalline Complex (TMC), eastern Ladakh, is marked by the presence of eclogites as boudins and lenses within the Puga Formation. These eclogites are composed of garnet, omphacite, amphibole, phengite, glaucophane, quartz, and iron oxide, with rare coesite inclusions in garnet reflecting ultrahigh-pressure metamorphic characteristics. Geochemically, TMC eclogites have high Fe-Ti basaltic compositions and classify as subalkaline tholeiites. Rare earth element and multielement diagrams display enriched patterns similar to enriched mid-ocean ridge basalt coupled with perturbed large ion lithophile elements and higher whole-rock (87Sr/86Sr) ratios (0.70884 to 0.72721) reflecting the possible influence of postcrystallization processes rather than variable interaction with host granite gneisses (87Sr/86Sr ratio: ∼0.73901). To evaluate the existing protolith possibilities, we calculated εNd(t=289Ma) values (+1.9 to +9.5) and εNd(t=140Ma) values (+1.1 to +8.9) of TMC eclogites; both indicate their derivation from depleted-mantle sources. The εNd(t=289Ma) values of the early Permian enriched Panjal volcanics of Kashmir Valley (−5.3 to +1.3) and Phe volcanics of Zanskar Himalaya (−7.4 to −1.1) are very different from TMC eclogites. However, the εNd(t=289Ma) values of TMC eclogites are similar to the depleted Panjal volcanics (+0.3 to +4.3). Similarly, the εNd(t=140Ma) values of the TMC eclogites closely resemble those of the adjoining Ladakh ophiolites, such as the Nidar-Spongtang-Shergol-Dras ophiolitic mafic rocks (+5.1 to +9.9). These observations partly negate the existing hypothesis of enriched Panjal and Phe volcanics for being the protolith for the TMC eclogites. Thus, we propose that the protolith for the TMC eclogites could be represented by the subducted portion of the early Permian depleted Panjal volcanics and Late Jurassic to Early Cretaceous Ladakh ophiolitic mafic rocks, subducted to eclogite-grade metamorphism (around ~53 Ma) and were subsequently tectonically accreted to the obducting Indian continental crust during their exhumation.
Predictors of Child’s Health in Pakistan and the Moderating Role of Birth Spacing

There is a consensus that better health should be viewed both as a means and an end to achieve development. The level of development should be judged by the health status of the population and the fair distribution of health services across the people. Many determinants affect a child’s health. This study aimed to explore a child’s health predictors and the moderating role of birth spacing on the association between mother’s health care services utilization (MHCSU) and a child’s health. In this study, we used the dataset of Pakistan Demographic and Health Survey 2017-18 to explore the predictors of child health and the moderating role of birth spacing through binary logistic regression, using SPSS version 20. The results showed an association of mother’s age (35 to 49 years), her education (at least secondary), health care services (more accessible), father’s education (at least secondary), their wealth status (high), and exposure to mass media to improved child health. However, the effect of a mother’s employment status (employed) on her child’s health is significant and negative. The coefficient of moderation term indicated that the moderating role of birth spacing on the association between MHCSU and a child’s health is positive. We conclude that birth spacing is a strong predictor for improving a child’s health. The association between MHCSU and child’s health is more distinct and positive when the birth spacing is at least 33 months.
Expression of pepsinogen A (PGA/PG I) in breast cancer and non-cancer tissues and its relationship with clinicopathological parameters of breast cancer

Background Human pepsinogens (PGs) are inactive pro-enzymes for the specific digestive enzyme--pepsin originating from the gastric mucosa, Pepsinogens A (PGA) is one of pepsinogens family members. In the past, relevant studies in PGA mainly focused on gastric diseases, but there were few reports outside the stomach. Further understanding of the relationship between PGA and extra-gastric diseases, especially cancer, is helpful to fully understand the role and function of PGA. Methods Total of 362 patients with different breast disease after surgery were registered in the study. Immunohistochemical staining was used for PGA expression. GEO, and a series of software packages based on R language were used for further validation as well as function analysis of PGA in breast cancer. Results There were significant statistical differences of PGA expression between breast cancer and non-cancer tissues including different benign breast diseases. The results of correlation between PGA expression and clinicopathological parameters of breast cancer showed that there was no significant correlation between PGA expression and general clinicopathological parameters except molecular classification of breast cancer. Analysis with GEO showed that higher PGA expression may indicate a poor prognosis of breast cancer. GO and KEGG analysis showed that PGA may be involved in PPAR signaling pathway and AMPK signaling pathway regulation mechanisms. Conclusions The expression of PGA in breast cancer was significantly higher than that of non-cancer tissues, and it was related to molecular classification of breast cancer. the prognosis of patients with higher PGA mRNA expression was poorer. PGA may function through interactions with PPAR signaling pathway and AMPK signaling pathway in breast cancer.
Optimal Model for Electricity Retailer Considering Demand Response and Risk Management through Stochastic Formulation

Abstract The electricity market is an economic environment of the power system in order to buy and sell energy in the presence of different players. One of the most effective part of electricity market is retail electricity market. Electricity price in the retail electricity market has a different rate for various types of customers. So, various retail prices are generally settled for different customers in the retail market. In power market, retailers purchase large volume of energy from power producers and sell it to customers. This paper from the retailer prospective while to encourage the customer to participate in priced-based demand response (DR) programs, proposes the nonlinear model by considering uncertainties in pool market and demand elasticity to decrease the energy procurement in hours with high pool prices.in the formulation of suggested stochastic model. Risk measurement of the proposed model is obtained by Value at Risk and Conditional Value at Risk. By applying the proposed model, electricity retailer will be capable to choose different risk-based strategies. The proposed model will lead to optimal management and decision-making of the retailer in purchasing from bilateral contracts and the pool market. Therefore, based on the suggested economic approach, the proposed model by considering the DR program reduces energy consumption during peak hours, which facilitates the supply of electricity to customers during these hours. Finally the case study is implemented in GAMS software and solved Via MINOS solver to observe the effectiveness and validation of the suggested model.