Miracle-dz/UniFAR-FTUs huggingface dataset:
Reproductive performance of Zebu cattle in Mexico. Influence of season and social interaction on the timing of expressed oestrus

The influence of herd interaction on the behavioural expression of oestrus of 32 and 38 non-pregnant Zebu cows was studied. Continuous observations were performed for a period of 44 days during the wet season and 50 days during the dry period. Sexual activities were grouped into pro-oestrus (the cow was active in mounting but not receptive), oestrus (the female was receptive), and metoestrus (cow was still active but not receptive). Significant differences (P 0.10) in the duration of oestrus and metoestrus for the wet and dry seasons were observed (10.4 h vs. 9.8 h and 4.2 h vs. 4.0 h, respectively). Only 10.8% of the periods of sexual activity was observed when three or more cows were concurrently displaying sexual activity. This suggests that Zebu cows under field conditions tend to manifest synergistic sexual behaviour.
LATITUDE and other coordinates in quality of life of prostate cancer patients

For prostate cancer as for many other solid tumors, cancer treatments are constantly and rapidly evolving. The primary goals remain, however, the same: to allow patients to live longer and to live better (1). Clinical benefit integrates, in fact, treatment effectiveness as well as assessment of quality of life (QoL).
serve as molecular switches to regulate eukaryotic membrane The TRA PPI II complex activates the GTPase Ypt1 (Rab1) in the secretory pathway

trafficking pathways. The transport protein particle (TRA PP) complexes activate Rab GTPases by catalyzing GDP/GTP nucleotide exchange. In mammalian cells, there are two distinct TRA PP complexes, yet in budding yeast, four distinct TRA PP complexes have been reported. The apparent differences between the compositions of yeast and mammalian TRA PP complexes have prevented a clear un-derstanding of the specific functions of TRA PP complexes in all cell types. In this study, we demonstrate that akin to mammalian cells, wild-type yeast possess only two TRA PP complexes, TRA PPII and TRA PPI II. We find that TRA PPI II plays a major role in regulating Rab activation and trafficking at the Golgi in addition to its established role in autophagy. These disparate pathways share a common regulatory GTPase Ypt1 (Rab1) that is activated by TRA PPI II. Our findings lead to a simple yet comprehensive model for TRA PPI II function in both normal and starved eukaryotic cells.
The Prevalence of Alcohol and Substance Use Among Medical Students at The Faculty of Medicine, Prince of Songkla University, 2016

Objective: To study the prevalence of alcohol and substance use among medical students. Material and Methods: A cross-sectional study surveyed Prince of Songkla University medical students in 2016. Questionnaires for demographic data, the Alcohol Use Disorder Identification Test (AUDIT), experience with alcohol and substance abuse, and the Patient Health Questionnaire-9 Thai version (PHQ-9) were used. We analyzed the data in order to describe the behavior of subjects by descriptive statistics. The factors associated with alcohol used were analyzed by chi-square test and logistic regression. Results: Seven hundred thirty-nine (70.1%) of medical students completed the questionnaires. Participants, 56.0% were female and 44.0% were male. Mean age was 21.2 years old; 53.3% have drunk alcohol; the gender proportion of drinkers was 60.0% of males and 48.1% of females. By AUDIT, 23.1% of medical students were high-risk drinkers. The most common reason for alcohol consumption was social engagement (91.9%) and the most common reason for not drinking was having knowledge about the harmful health effects of alcohol (51.2%). Of the medical students, 7.6% had experience with substance use. The drugs most commonly used were cigarettes (5.3%) and baraku (4.6%). According to the PHQ-9, 11.2% of all medical students, 12.6% in males and 10.1% in females had depression. However, these high levels of depression did not associate with a high-risk of alcohol consumption. The significant factors that associated with high-risk drinking were gender [odd ratio (OR)=1.9 (1.1-3.4)] and experience with substance use [OR=3.8 (2.0-7.3)]. Conclusion: Half of medical students drank alcohol and approximate 1 in 10 had experience with substance use. Gender and experience with substance use were the significant factors that correlated with high-risk drinking.
Original Article

Background - Japanese Encephalitis with high mortality and disability is serious public health menace in South-East Asia including India. Successful JE control of other S.E. Asian countries and the largest epidemic in Uttar Pradesh, led India to initiate mass vaccination campaign, in 2006, for immunizing 1-15 years children of eleven hyperendemic districts of five states with SA-14-14-2 JE vaccine. Methodology Community based Active Postmarketing Surveillance for one year was conducted, in randomly selected villages of a randomly selected block of Burdwan district, West Bengal, involving 720 target children with objective to explore the safety of SA-14-14-2 vaccine, in Indian perspective. Results - About 15% and ≤1% participants suffered from pain and swelling and/or redness at injection site. Fever was the most prominent general systemic reaction developed by about 10-15% subjects, < 5% children reported reactions like headache, bodyache, nausea-vomiting, listlessness, loss of appetite, pain abdomen and loose motions etc. whereas almost 5-8% vaccinees affected by cough and runny nose. No serious AEs was reported up to one year after vaccination. Conclusion Being consistent with results of other studies, present findings led to conclude that short term safety of vaccine appeared satisfactory requiring long term monitoring of AEFIs to explore its remote serious AEs.
Evaluation of the Salivary Flow Rate and pH in Patients with Recurrent Oral Ulcers

Introductions: Recurrent oral ulcers primarily effect mucosal surfaces and are among the most common chronic inflammatory diseases. Numerous studies to find the aetiopathogenesis have been conducted however the cause still remains unclear. Saliva is of utmostimportance for oral health maintenance. In current study, saliva was used as a diagnostic tool for comparison of salivary flow rate and pH in patients suffering from recurrent oral ulcers and control group. Materials and Methods: Saliva samples taken from 20 recurrent aphthous ulcer patients and 20 control (healthy) patients using a convient sampling method. Drooling method was used to collect unstimulated whole saliva sample. Pre-weighted specimen bottles were used and then weighed after sample collection on a graduated scale where as chair-side pH meter was used to determine the salivary pH. Independent t-test and Pearson’s correlation were performed. A p-value of less than 0.05 was considered statistically significance. Results: Positive correlation was found between the flow rate and pH in recurrent oral ulcer patients. Patients with recurrent oral ulcers had higher flow rate and pH compared to the control group. These effects were exaggerated in female patients with ulcers. Conclusions: Disturbances in salivary flow rate and pH were not significantly associated with recurrent oral ulcers.
Proactive Scenario Characteristic-Aware Online Power Management on Mobile Systems

Modern mobile systems are requested to execute diverse user scenarios. Depending on the types of user scenarios, mobile systems utilize hardware resources differently. Thus, power management policies of mobile systems must adapt to various user scenarios. In this paper, we propose a dynamic voltage/frequency scaling (DVFS) policy to increase the energy efficiency of multicore mobile systems by adapting to user scenarios. The proposed policy provides effective power management regardless of user scenarios by using operation characteristics that can represent the execution behavior of various user scenarios. Furthermore, the proposed policy is suitable for modern mobile systems in which online power management is essential, because it does not require preliminary knowledge of target scenarios. To balance the trade-off between energy consumption and quality-of-service (QoS), the proposed scenario-aware policy provides ‘just enough’ processing speed to process the requested amount of work at the given parallelism level. To demonstrate the practicality of the proposed policy, we evaluated the effectiveness of the proposed scenario-aware policy for real-world user scenarios. Compared to the conventional DVFS policies, the proposed scenario-aware policy achieved a maximum of 25.5% energy saving on the mobile system that uses asymmetric multicore CPU, and a maximum of 30.7% energy saving on the mobile system that uses symmetric multicore CPU, without any QoS violation that degrades user experiences.
Liquid Pouch Motors: Printable Planar Actuators Driven by Liquid-to-Gas Phase Change for Shape-Changing Interfaces

Conventional planar pneumatic actuators have not been able to make the most of their thin, lightweight, and flexible nature due to tubes and pumps inevitably connected to them. In this article, we build upon our prior work and propose Liquid Pouch Motors, a family of printable soft actuators that consist of one or more gas-tight bladders (called pouches) filled with low boiling point liquid. When the heat over 34 $^\circ$C is applied to them, the liquid inside the pouch evaporates and the whole structure inflates. Especially, we newly presented roll-to-roll mass production of Liquid Pouch Motors with the rectangular form factor in addition to the previously reported CNC heat drawing. We also discussed the suitable material selection and the volume of liquid needed for the actuators. Based on this fabrication procedure, we evaluated the mechanical properties of the proposed actuators. By leveraging the benefits of the actuators, we then implemented three shape-changing interfaces: (1) electrically driven printable paper robots combined with printed paper circuit; (2) an untethered architecture facade that passively actuates by ambient heat; and (3) dresses that change their color and texture by the incident light and the body temperature. We believe that Liquid Pouch Motors will work as a new toolbox for the fabrication and application of soft actuators in interactive scenarios.
A 9.6 mW/Ch 10 MHz Wide-bandwidth Electrical Impedance Tomography IC with Accurate Phase Compensation for Breast Cancer Detection

A 10MHz wide-bandwidth Electrical Impedance Tomography (EIT) IC is proposed for compact and high-precision breast cancer detection system. The proposed IC has three key features: 1) wide dynamic range LNA (WDR-LNA), enabling low noise impedance measurements for the high-resolution imaging, 2) reconfigurable front-end architecture (RFA) to remove external multiplexer for the compact system integration, and 3) phase compensation loop (PCL) to efficiently correct the phase error, which is the primary challenge in wide-bandwidth EIT system. Thanks to the key features, the proposed prototype breast cancer detection system with the dedicated EIT IC can operate up to 10 MHz with a small phase error of 4.32 degree, eventually can detect a small size target object of 0.5 cm and verified with the phantom experiments.
Hadoop ZedBoard cluster with GZIP compression FPGA acceleration

This paper presents the implementation of a heterogeneous Hadoop cluster based on the Zynq ZedBoard development platform with GZIP FPGA offloading for high-speed and energy efficient computing. We have developed the first open source FPGA GZIP compressor, designed for educational and research purposes, that can reach 1 Gbps compression speed using a 125 MHz clock. The core uses only 10% of the Zynq-7020 SoC FPGA resources and is 5.7x faster than the ARM CPU which runs at 667 MHz. We implemented an eight-node Hadoop distributed cluster and performed the Wordcount and Terasort benchmarks using software and hardware GZIP compression during the Map stage. Results show an almost 2x more energy-efficient cluster when compression is done using our GZIP FPGA core than using the software compression. The performance of the Hadoop cluster is limited by the 512 MB of RAM and the low read-write speed of the SD cards which act as hard drives for each node.
Hybrid 2D–0D SnS2 Nanoflakes/CTS QDs-Based Broadband (UV-Visible-NIR) Photodetector

This article reports the SnS2 nanoflakes/(Cu2SnS3) CTS Qds-based hybrid ultrawideband photodetector (PD). The fabricated device detects the illumination in the 300–1100-nm spectrum (UV–Vis–NIR). The synergetic effect of UV detection characteristics of SnS2 nanoflakes and NIR detection characteristics of CTS Qds is utilized to obtain ultrawideband detection in the UV to NIR region. Low cost and simple solvothermal technique has been used to synthesize good quality of 2D SnS2 nanoflakes (size ~ 146 nm) and 0D CTS Qds (size, ~ 3.2 nm). In addition to being an active semiconductor for UV light, the SnS2 nanoflakes layer in the device has an additional task of being a carrier transport layer for the photogenerated carriers in CTS Qds. This 2D/0D (SnS2 nanoflakes/CTS Qds) PD structure fabricated on a silicon substrate has shown excellent performance in the entire range, that is, UV–Vis–NIR. The sensitivity of the fabricated CTS Qds/SnS2 nanoflake-based PD was found to be 296.2, 240.7, and 368.05 for illumination wavelengths of 320, 640, and 970 nm, respectively. The reported CTS Qds/SnS2 nanoflake-based 2D–0D hybrid detector has a responsivity of 53.88, 5.16, and 12.61 A/W for 320, 640, and 970-nm light wavelengths, respectively, and best detectivity has been observed in the order of 1013 Jones for UV light.
Optimal Release Time for Software Systems

Testing the lifecycle is a challenge when it comes to maintaining a high layer of software accuracy obtaining the software's optimal release time. The enterprise urgency to understand when to update and break trial to improve the software's reliability, maintaining the software market growth and decrease the price of research. Companies usually put their product on the market sooner, in order to reach the market. Software testing is a mechanism by which corporations update, Troubleshoot or upgrade their software when used as a debugging method, it guarantees optimum product release, increasing software stability while compressing the economic expense of testing. Today, its journey on market is dynamic due to distributed nature and the diversity of the software making patch an intrinsic testing element. A Sew is a chunk of software to repair or support a device program for fixing or improving it. An important issue within the software advanced preparation to complete when to prevent testing and deliver the software to the users. In this paper, the cost optimal release action, which decreases entire normal cost of program, will be addressed. Scientists have been working in the field to reduce entire testing cost, but so far, accuracy has not been studied in the system for optimal time scheduling. In this paper, we discuss accuracy, which is considerable aspect of quality of program. We therefore suggest reliability development, Design software testing to make the software system stable and cost-effective to fix testing cost issues, product delivery time, and acceptable reliability levels. Using real-life failed software dataset, the numeric illustration was implemented.
R&D Partner Type, Product Life-cycle, and Innovation Performance of High-technology Ventures

To cope with rapidly changing market demand and deficiency of internal resources, innovative ventures actively invite various types of external partners to their innovation process. Although many research has been conducted to identify the effect of R&D partner types on firm performances, few studies have taken into account venture firm as well as the stage of the product life-cycle in examining the issue, which can significantly affect the strategic decision on and the outcome of R&D collaboration. To this end, this study focuses on high-technology ventures at three different stages in product life-cycle and examines the effect of R&D collaboration with five different types of R&D partner on innovation performance of ventures. Our findings reveal that for ventures in the introduction stage, R&D collaboration with large firm is positively related to their innovation performance. In the growth stage of product life-cycle, R&D collaborations with university, public research institute (PRI), and large firm are positively associated with innovation performance. Lastly, for ventures in the mature stage of product life-cycle, university and public research institute are suggested as effective partners for innovation performance of ventures. Neither R&D collaboration with private research centers (PRC) nor other SMEs and ventures show a significant effect on innovation performance at all three stages of product life-cycle. This research contributes to the existing literature of open innovation and innovation management of ventures.
An acoustic study of affricates produced by L2 english learners in Harbin

The present study focuses on the acquisition of English affricates by L2 learners in Harbin where a major variety of Mandarin is spoken, and explores possible interferences from L1 leading to L2 learners’ deviations in pronunciation. Specifically, features of L2 learners’ productions are compared with native speakers by using different acoustic parameters so that the differences between the two groups could be discovered. The results can help find out whether the differences or the similarities between L1 and L2 sounds contribute more to L2 speech acquisition. Independent sample t-test and affricate acoustic patterns are used in the comparisons. The results show that affricates in English are not completely well acquired by L2 learners from Harbin. Specifically, L2 learners’ production of /tʃ/ has a longer Duration of Frication (DOF) and a weaker plosion than that by native speakers, and their production of /dʒ/ is longer and stronger in its frication part compared to that by native speakers. The similar durations of GAP between the two groups of speakers indicates that the articulatory precision of /tʃ/ and /dʒ/ are well acquired. /tr/ and /dr/ are produced by L2 learners in a longer and more tense manner. The unsatisfactory acquisition, according to the analysis, is caused by both similarities and differences of linguistic features in L1 and L2. The Transfer Theory and the Speech Learning Model (SLM) are adopted to explain the results.
Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core

Energy-efficiency is a critical requirement for computation-intensive real-time applications on multi-core embedded systems. Multi-core processors enable intra-task parallelism, and in this work, we study energy-efficient real-time scheduling of constrained deadline sporadic parallel tasks, where each task is represented as a directed acyclic graph (DAG). We consider a clustered multi-core platform where processors within the same cluster run at the same speed at any given time. A new concept named speed-profile is proposed to model per-task and per-cluster energy-consumption variations during run-time to minimize the expected long-term energy consumption. To our knowledge, no existing work considers energy-aware real-time scheduling of DAG tasks with constrained deadlines, nor on a clustered multi-core platform. The proposed energy-aware real-time scheduler is implemented upon an ODROID XU-3 board to evaluate and demonstrate its feasibility and practicality. To complement our system experiments in large-scale, we have also conducted simulations that demonstrate a CPU energy saving of up to 67 percent through our proposed approach compared to existing methods.
All-Pass and Add-Drop Microsphere Resonator in a Suspended Dual-Core Hollow Fiber

In this paper, we demonstrate an in-fiber all-pass and add-drop whispering gallery mode microsphere resonator. We fusion splice a section of single mode fiber (SMF) to a section of suspended dual-core hollow fiber (SDCHF), into which a microsphere is then embedded. Most of the input light from the SMF can be coupled into the cores of the SDCHF, with a maximum coupling efficiency obtained when maintaining a balance between the cone-apex angle and the core size of SDCHF in the conical region. The optical spectrum can be clarified by reducing coupling paths between the microsphere and the SDCHF. It is observed that the linewidth of the resonance peak is halved with halved coupling paths in the coupling model. When the microsphere with a suitable diameter is located at a critical position in the SDCHF, the coupler turns from an all-pass into an add-drop coupling structure. The device also demonstrates good stability as a refractive index (RI) sensor with a sensitivity of −386.12 dB/RIU when the RI of the surrounding medium ranges from 1.3333 to 1.3714. This in-fiber resonator device is inherently robust, compact, and has a great potential for sensing applications.
Diagnosis of Crime Rate against Women using k-fold Cross Validation through Machine Learning

Crime against women has become a very big problem of our nation. Many countries are trying to control this offence continuously and its prevention is an essential task. In recent years crimes are significantly increasing against women. Currently the Indian government show interest to address this problem and give more importance to develop our society. Every year a huge amount of data collection is generated on the basis of the crime reporting. This data can be very useful for assessing and predicting crime, and can help us to some degree stop the crime. Data analysis is a process of examining, cleansing, transformation and modelling data with the goal of establish useful information, reporting conclusion and sustaining decision-making. Feature Scaling is one of the most important techniques to standardize the independent features to place the data in a fixed range. It is performed at the time of data pre-processing. K-fold cross-validation is a re-sampling method used for calculating machine learning models on a small sample of data. It is a common strategy since it is easy to understand and usually results in a model deftness calculation that is less biased or less negative than other approaches, such as a simple train or test divide. Machine learning plays a large part in data processing. This paper introduces six different types of Machine learning algorithms such as KNN and decision trees, Naïve Bayes, Linear Regression CART (Classification and Regression Tree) and SVM using similar characteristics on crime data. Those algorithms are tested for accuracy. The main objective of this research is to evaluate the efficacy and application of the machine learning algorithms in data analytics.