Miracle-dz/UniFAR-FTUs huggingface dataset:
Unraveling Human Perception of Facial Aging Using Eye Gaze

Continuous efforts are being made to understand human perception network with the purpose of developing enhanced computational models for vision-based tasks. In this paper, we utilize eye gaze as a medium to unravel the cues utilized by humans for the perception of facial aging. Specifically, we explore the tasks of face age estimation and age-separate face verification and analyze the eye gaze patterns of participants to understand the strategy followed by human participants. To facilitate this, eye gaze data from 50 participants is acquired using two different eye gaze trackers: Eye Tribe and GazePoint GP3. Comprehensive analysis of various eye movement metrics is performed with respect to different face parts to illustrate their relevance for age estimation and age-separated face verification tasks.
CLINICAL EVALUATION OF MODIFIED SIRODHARA PROCEDURE & KUKSHI BASTI IN THE MANAGEMENT OF PAKVASAYAGATA VATA ROGA (IBS)

Irritable Bowel Syndrome is a clinical entity recently identified with a set of symptoms related to gastrointestinal tract. These symptoms essentially pertain to the diathesis of gut motility disorder. The characteristic clinical features are abdominal pain, altered bowel habit, psychiatric symptoms such as anxiety or depression in the absence any detectable organic pathology. It is a persistent syndrome intractable to all kinds of treatment and presentation often appears intermingled with a range of personality factors. IBS seems to be apparently comparable to two classicals Ayurvedic syndromes described in Samhita texts of Ayurveda viz. (1) Vataja Grahani roga (2) Pakvasayagata vata. On further conceptual analysis, it may be concluded that IBS may not be truly comparable with Vatika Grahani roga because Grahni is a disease of “Grahani” organ, which relates to small bowel while IBS as known in Western modern medicine is predominantly a disease of colon. Further Grahni roga is essentially characterized by depletion of Agni i.e. Pachaka pitta while is case of IBS the basic pathology is not of digestive nature; rather it is more of psychoneurological nature. In view of this, it seems logical to correlate IBS with Pakvasayagata vata vyadhi as described in all Samhitas and is essentially psychoneurotic diatheses. However, there is a need of constructing the samprapti of this disease identifying its components like dosha, dushya and adhisthana etc. Present clinical study designed to know more about the aetiopathogical nature and clinical profile of Irritable Bowel Syndrome as seen in Indian settings. Hence, it was decided to launch an epidemiological and clinical study on IBS through the patients reporting for treatment at University Hospital, Banaras Hindu University. The Present study is based on randomly selected 45 patients. The Ayurvedic formulation, which was tried in these patients, with a view of their probable role as ENS sedative (jatiphaladi tail) and CNS sedative (medhya kasaya) effects. In addition to the systemic administration of the classical drug, it was considered useful to give a trial to a special Kukshi Basti along with shirodhara in this patients.The present trial, which is essentially an open clinical trial, has exhibited interesting results in terms of the therapeutic efficacy of the trial treatment given. Thus, the present study has been conducted entirely from a new angle and it yields interesting observations, which open never vistas of further investigation in this subject.
(MESA AC 291) The Association of Endogenous Sex Hormones with Liver Fat - Multi-Ethnic Study of Atherosclerosis (MESA)

Background— Circulating sex hormone levels are associated with glucose metabolism and adiposity, but their association with ectopic fat deposition in the liver is not well understood. Methods— We studied the association of the circulating levels of bioavailable testosterone (Bio-T), estradiol (E2), dehydroepiandrosterone (DHEA) and sex hormone binding globulin (SHBG) with fatty liver, defined as attenuation ≤ 40 Hounsfield Units by magnetic resonance imaging in 2835 postmenopausal women and 2899 men in the Multiethnic Study of Atherosclerosis baseline examination. Results— In women, there was a significantly greater odds ratio of fatty liver prevalence in the highest tertile versus the lowest tertile of Bio-T (1.73, 95% CI 1.05 – 2.87) and E2 (2.42, 95% CI 1.37 – 4.29) adjusting for age, race/ethnicity, body mass index, hypertension, total and high density lipoprotein cholesterol, smoking, insulin sensitivity and hormone replacement therapy use. In men, there was a significantly greater odds ratio of fatty liver prevalence in the highest tertile versus the lowest tertile of E2 (1.96, 95% CI 1.21 – 3.18), but a significantly lower odds ratio for the highest versus lowest tertiles of SHBG (0.50, 95% CI 0.30 – 0.84). Other associations of hormones with fatty liver were not statistically significant. internal mileu is associated with fatty liver in postmenopausal women. In men, lower levels of SHBG are associated with fatty liver. Higher levels of E2 are associated with fatty liver in both sexes. This pattern is consistent with the sex-specific associations of sex hormones with other cardiometabolic risk factors.
Cancer Associated MicroRNAs are Differentially Expressed in Triple Negative Breast Cancer and Normal Breast Cells

Breast cancer is a heterogeneous disease that is sub-categorized based on the expression of certain protein markers including estrogen and progesterone. Triple-negative breast cancer (TNBC) is a subtype of breast cancer that is characterized by its lack of the estrogen, progesterone and HER2/Neu protein receptors, and it has no known biomarkers for diagnosis and drug targeting. TNBC has a high mitotic index and primarily affects women of African origin. MicroRNAs are small non-coding RNA molecules that regulate oncogenic and tumor suppressive pathways in the cel1, and may potentially be used as biomarkers for the diagnosis and prognosis of TNBC. In this study, we compared the expression of microRNAs that play roles in cancer in TNBC cell lines (HCC1806, HCC70, and MDA-MB-157) and normal breast cells (AG11132). Microarray analysis revealed that microRNAs 21, 34a, 103, 141, and let-7a were shown to be differentially expressed in TNBC cells vs. the normal breast tissue cell lines. Quantitative-PCR confirmed the differential expression of the microRNAs in the TNBC cell lines vs the normal cells. These findings suggest that microRNAs could be used as potential biomarkers to diagnose TNBC and could potentially be used as drug-targeted therapies in the future.
FAMILy ACCOMMODATION IN ObSESSIVE-COMPuLSIVE DISORDER : A STuDy ON ASSOCIATED VARIAbLES

The present study aimed to examine family accommodation in relatives of obsessive-compulsive disease (OCD) patients. Accommodation was assessed in a sample of 31 relatives of OCD patients by means of the Family Accommodation Scale. Other variables measured as predictors of accommodation were the tendency of a family member to feel guilty, sensitivity to guilt, anxiety sensitivity and the prevalence of a passive communication style. Accommodation was found to be rather widespread in the family members who took part in our study, and they tended to show more accommodation the greater their sensitivity to guilt and the stable tendency to experience this emotion as well as anxiety sensitivity and a passive communication style. Multiple linear regression analyses showed that, among the variables considered, the family member’s sensitivity to guilt is the only factor which can predict accommodation with regard to the patient’s demands for involvement. On the other hand, the small number of family members in the sample and the lack of clinical data on patients (such as the severity, typology and duration of their obsessivecompulsive disorder) pose limits to the generalizability of the results and point to the need for further research.
Sources and fate of organic matter in suspended and bottom sediments of the Mandovi and Zuari estuaries, Western India

Organic carbon (OC), total nitrogen (TN) and stable carbon and nitrogen isotopic compositions were measured in suspended particulate matter (SPM) and surface sediment along estuaries of Mandovi and Zuari rivers, two small mountainous river systems in western India during wet and dry seasons, to characterize the sources of organic matter (OM) in these systems. Unlike major rivers, SPM concentrations increase seaward with a general trend of decreasing particulate organic carbon (POC) in these rivers, mostly due to the presence of estuarine turbidity maximum (ETM) located downstream of the estuaries. POC and particulate nitrogen (PN) were higher in the Mandovi than in the Zuari estuary. Except during wet season in the Mandovi, POC/PN and delta N were altered by biogeo-chemical processes in both the estuaries and are not indicators of source organic matter. PN/POC and delta 13 C org indicated the dominance of terrestrial plantderived OM and terrestrial soilderived OM respectively, in the Mandovi and Zuari estuaries during wet season. The delta 13 C org versus salinity plot indicated increasing proportions of marine OM seaward in both estuaries during dry season. OC and TN in the sediments of both estuaries were much lower than in the overlying suspended matter. The mean delta 15 C org in the sediment and SPM were similar in both the seasons in Mandovi and only during wet season in Zuari estuary. Uniform mean val-ues of delta 13 C org in the lower estuary and bay of Zuari indicated efficient mixing of sediments during wet season. Sediments with relatively high delta 13 C org and low delta 15 N in the upper estuary of Zuari were related to anthropogenic contamination by sewage effluents during dry season. It is estimated that each river contributed at least ~20% terrestrial organic carbon (TOC) to the coastal system during wet season and received similar quantity of TOC during dry season. Since there are more than 10,000 small rivers originating from mon-soon-dominated and/or mountainous regions globally, it must be appreciated that their total TOC contribution to the coastal system must be substantial
Acoustic Analysis of Manipuri Vowels

Manipuri language is one of the low resourced languages of north eastern part of the India. The need of development of speech technology in the local language is of urgent demand, so as to improve the livelihood of the people. The pre-requisite of development of such speech technology requires the basic research on the acoustic phonetic of the phoneme together with the development of speech resources. Keeping the main objective in mind the current paper aims at preliminary study on acoustic characteristics of Manipuri vowels. The current study is conducted on the speech corpus of around 500 Phonetically Balanced Words (PBW) embedded in neutral carrier sentences informants (5 male and 5 female) in a reading mode. Moreover vowel segments which are in CVC word are selected. The dialect chosen for the purpose of experiment is Imphal dialect of Manipuri language. After analyzing the data, vowel phoneme inventory of Manipuri language has been presented in this paper.
Therapeutische Kommunikation im Kontext von Sportorganisationen: Zur Soziologie depressiver Erkrankungen im Spitzensport

Zusammenfassung Zur therapeutischen Versorgung depressiver Athleten kooperieren die Vereine und Verbände im Spitzensport häufig mit Psychotherapeuten. Der vorliegende Beitrag analysiert die komplexen Sinnvorgaben therapeutischer Kommunikation zur Behandlung depressiver Spitzensportler mit Hilfe der neueren soziologischen Systemtheorie. Die freiwerdenden Erkenntnisse werden unter besonderer Berücksichtigung der spezifischen Kontextbedingungen in Sportorganisationen reflektiert. Aus Sicht der Sportvereine und -verbände erweist sich die psychotherapeutische Intervention bisweilen als ambivalenter Problemlösungsversuch: Indem Psychotherapeuten systemfremde Logiken einbringen und mit inkongruenten Perspektiven arbeiten, um den Leidensdruck des betroffenen Athleten zu beheben, können sie aufseiten der Organisation durchaus Irritationen stiften und neue Probleme erzeugen.
A neuroscientific approach to exploring fundamental questions in VR

Virtual reality presents a new set of challenges and opportunities for both engineers and neuroscientists. Here we provide an overview of a programme designed by a group of psychologists, neuroscientists and VR specialists to address some of the most outstanding issues in the field ranging from the very low-level (for example, how the brain processed motion-in-depth signals generated by stereoscopic display devices) to the very high level (how virtual environments can lead to a sense of immersion and emotional engagement). We present data from psychophysical, electrophysiological and neuroimaging experiments and explain how different research methodologies can be applied to different problems in the field of VR/AR. We end by describing an open-source, extensible software package for studying issues in VR that can interface to common laboratory measurement equipment and discussing future directions and challenges facing the neuroscience and VR engineering communities.
MULTILINGUAL SPEAKER RECOGNITION USING NEURAL NETWORK

In the present paper an attempt is made to recognize the speaker based on speech feature and independent of the language. Speaker recognition systems attempt to recognize speaker‟s identity from his/her speech utterances. Every speaker has different individual characteristics embedded in his /her speech utterances. These characteristics can be extracted from utterances and neural network model is used to get the desired results. The simulated model of neural network based multilingual Speaker recognition system for Indian languages Hindi, Punjabi, Telugu, Sanskrit and English has been developed. The utterances of the speaker are stored in digitized form to evaluate the speech data bank. The sampling frequency and speech feature namely LPC, LPCC, RC, LAR, LSF, ARSCIN are extracted from speech signal and formed feature vectors. These features are fed into Neural Network back propagation learning algorithm for training and identification processes of different speakers and languages. The database used for this system consists of 25 speaker including both male and female from different regions. Five different speaking texts of different languages having same meaning are used to get the best speaker identification accuracy. The ANN model consist of 575 neuron in inputs layer, two hidden layers of 52 and 38 neurons respectively and 25 neurons in output layer. The average recognition score is 85.74%.
Soft sediment meiofaunal community structure in relation to a long-term heavy metal gradient in the Fal estuary system

The Fal estuary system, southwest England, is an ideal site for a natural experiment on the effects of long-term contamination by heavy metals on intertidal mudflat meiofauna communities. Five creeks were chosen in which sediment concentrations of heavy metals differed by orders of magnitude, namely Restronguet (mean Cu concentration 2532 µg g-1), Mylqr (1272 µg g-1), Pill (697 µg g-1), St Just in Roseland (332 µg g-1) and Percuil (165 µg g-1). Univariate and multivariate analyses of the meiofaunal community structure in these creeks suggest that nematodes are more responsive to sediment heavy metal concentrations than copepods, as indices of diversity and changes in nematode community structure as revealed by multivariate analyses were closely correlated with metal levels For copepods differences could only be detected in Restronguet creek, where endobenthic species were absent. Analyses suggest that some nematode species may have developed different tolerance mechanisms for survival in areas with high heavy metal concentrations.
Effect of feeding genetically modified maize and soybean meal to sows on their reproductive traits, haematological indices and offspring performance

Abstract The effect of Roundup Ready MON-40-3-2 soybean meal and Bt maize MON810 on sows performance and haematological indices, including parameters of erythrocytes, leukocytes, and trombocytes, as well as the piglets rearing indices were evaluated in the experiment carried out on 24 sows and their progeny. After mating sows were divided into groups: I - control, conventional soybean meal and conventional maize; II - genetically modified (GM) soybean meal and conventional maize; III - conventional soybean meal and GM maize; IV - GM soybean meal and GM maize. All used feed mixtures were isonitrogenous and isoenergetic, however differed in presence or absence of genetically modified maize MON810 (5% for pregnant and 8% for lactating sows) and/or soybean meal MON-40-3-2 (4% for pregnant and 14% for lactating sows). Born piglets were allotted to the same group as their mothers. The study showed that feeding pregnant and lactating sows with mixtures containing genetically modified RR soybean or/and meal Bt maize did not significantly affect their reproductive characteristics and offspring performance. There was no effect of dietary treatment on haematological indices. Transfer of transgenic DNA from GM feed to blood was not confirmed.
Rank-One Tensor Modeling Approach to Joint Channel and Symbol Estimation in Two-Hop MIMO Relaying Systems

—This paper proposes two semi-blind receives for joint channel and symbol estimation in MIMO relay-based communication systems. These receivers are developed for a two-hop system, assuming a tensor coding at the source and relay nodes. The central idea of the proposed approach is on the rank-one tensor modeling of the received signal, which allows the use of efﬁcient estimation algorithms. The ﬁrst receiver utilizes an iterative solution based on the alternating least squares (ALS) algorithm, while the second provides closed-form estimations of the channel and symbol matrices from a truncated higher order singular value decomposition (T-HOSVD). The proposed approach has a lower complexity compared to the receiver developed in a previous work, while providing remarkable performance.
Motor-Mediated Microtubule Self-Organization in Dilute and Semi-Dilute Filament Solutions

We study molecular motor-induced microtubule self-organization in dilute and semi-dilute filament solutions. In the dilute case, we use a probabilistic model of microtubule interaction via molecular motors to investigate microtubule bundle dynamics. Microtubules are modeled as polar rods interacting through fully inelastic, binary collisions. Our model indicates that initially disordered systems of interacting rods exhibit an orientational instability resulting in spontaneous ordering. We study the existence and dynamic interaction of microtubule bundles analytically and numerically. Our results reveal a long term attraction and coalescing of bundles indicating a clear coarsening in the system; microtubule bundles concentrate into fewer orientations on a slow logarithmic time scale. In semi-dilute filament solutions, multiple motors can bind a filament to several others and, for a critical motor density, induce a transition to an ordered phase with a nonzero mean orientation. Motors attach to a pair of filaments and walk along the pair bringing them into closer alignment. We develop a spatially homogenous, mean-field theory that explicitly accounts for a force-dependent detachment rate of motors, which in turn affects the mean and the fluctuations of the net force acting on a filament. We show that the transition to the oriented state can be both continuousmore » and discontinuous when the force-dependent detachment of motors is important. « less
Bronchial mucoepidermoid carcinoma in a 12-year-old boy : a case report and literature review

Lung cancer in young patients is rare, which might be ignored or misdiagnosed empirically. Herein, a primary pulmonary mucoepidermoid carcinoma (MEC) was found in a 12-year-old boy, which was indicated pathologically through transbronchial biopsy. Single-stage bilobectomy of right middle and right lower lobes was performed, and a complete surgical resection of the tumor was achieved. The patient survived without local recurrence or distant metastasis during the follow up of 1 year. Because of its rarity, the diagnosis and therapy of lung cancer in very young patients might be delayed. Therefore, primary lung cancer should be kept in mind during the differential diagnosis of obstructive pneumonia or atelectasis in young patients to avoid empirical misdiagnosis. Besides, a timely aggressive resection of localized pulmonary MEC may lead to a satisfactory prognosis.
Quality fruit grading by colour machine vision: defect recognition.

This paper presents the classification of Jonagold apple defects on their shape, colour and texture-basis according to the E.U. standards. The small defects (less than 11 mm2) with little variability were graded separately, with 5 parameters (roundness, mean colour and mean red standard deviation) into three classes (healthy, russeting, defects). With linear discriminant analysis, the global correct classification rate reached 71%. 95% of the healthy blobs, coming from slight over-segmentation, were correctly graded. For larger patches, a first grading between healthy patches and defects (including calyx and stem ends) was carried out. 86% of the patches were correctly graded with 12 parameters: 4 for the shape , 3 for the colour and 5 for the texture. The defects were graded afterwards with the same descriptors set. The results were quite good as a whole (66% of the defects correctly graded). Scabs, stem end and russeting were well recognised, but slight defects and defects rejecting the fruits were less accurately sorted. The use of neural networks enhanced this result (71% of the defects correctly graded).
Video Object Tracking Using Neural Networks

: In this paper, we have implemented a novel video object detector and tracker using the YOLOv2 architecture as a basis for the network. With the rise of video datasets and self-driving cars, many industries seek a way to perform quick object detection on video, as well as perform predictive tracking on these objects. The proposed video object detector and tracker is in fact a predictive object detector and tracker, allowing for object prediction and information to be known before the event takes place. This network implements the novel convolutional 2D LSTM layer presented in [1] . Two different approaches were taken to implement this network. The first is an intuitively easy to understand post-temporal pattern matching attempt wherein the YOLOv2 detector is used to detect objects in two images and the novel convolutional 2D LSTM layer performs it’s temporal feature mapping across the output tensors of the detectors. The second approach, although less intuitive, provides better results by performing the temporal feature mapping first across two images and feeding the output into the YOLOv2 detector that has been partially wrapped using a Time Distributed layer. Finally, the network was tested on the MOT 2017 dataset and although did not perform competitively against state-of-the-art techniques, the network was able to perform predictive object detection and tracking, demonstrating that the convolutional 2D LSTM layer is useful for a variety of video analysis problems. Future work in this field proves promising for video analysis and predictive object detection in general.
Capillarity Effect on Two-Phase Flow Resistance in Microchannels

An experimental set-up is developed to investigate the effects of surface energy/surface wettability on characteristics of two-phase flow in microchannels. Two-phase (water and air) slug flow is established in entrance effect free microchannel test sections of various surface wettabilities. Pressure drop measurements and flow pattern detection by high speed visualization are employed to characterize the flow. Pressure drop of flow in hydrophilic channels is lesser than that of flow in hydrophobic channels. Significant change in contact line in advancing and receding interface section with surface wettability is observed. © 2007 ASME