Miracle-dz/UniFAR-FTUs huggingface dataset:
A Phenomenological Study of First-generation Latino Graduates of Community College and Protective Factors of Academic Resilience

This study examined the reasons behind first-generation Latino students’ academic success in attaining associate degrees in community colleges in the United States, focusing specifically on academic resilience factors among this cohort. The research comes in response to the awareness that, despite the U.S.’s rapidly growing Latino population, Latinos have the lowest higher education attainment level compared to all other ethnic groups. While the structural factors behind this have been examined, there is relatively little research on the enabling factors driving Latinos, specifically those who are first-generation students, who do successfully complete higher education degrees in community colleges, their main entry into postsecondary education. In order to gain insight into the factors associated with academic resilience from the perspective of firstgeneration Latino students who have completed an associate degree at a community college, a phenomenological approach was employed to describe the lived experiences of these students. A purposeful sample of 10 graduates at a community college in the northeast United States was used. Data was attained by qualitative inquiry through in-depth interviews, and subsequently analyzed to help the researcher develop structural themes. The themes that emerged from the study found that perseverance, familial support, spirituality and positive interaction from others may impact the ability of first-generation Latino students to continue to persist towards degree completion. Recommendations were described to assist institutions of higher education to recognize that individual, familial, and environmental protective factors can have a significant positive impact on the academic success of first-generation Latino students in community colleges. Degree Type Dissertation Degree Name Doctor of Education (EdD) Department Executive Leadership First Supervisor Janice Girardi Second Supervisor Carla Smith Subject Categories Education This dissertation is available at Fisher Digital Publications: http://fisherpub.sjfc. edu/education_etd/232 A Phenomenological Study of First-generation Latino Graduates of Community College and Protective Factors of Academic Resilience By
Low-cost Gaze Detection with Real-time Ocular Movements Using Coordinate-Convolutional Neural Networks

- Detection of ocular-movements unfolds various possibilities in computer vision but requires large datasets, expensive hardware and computational power. Prior research substantiates the belief that Convolutional Neural Network provides the highest recognition rate compared to traditional techniques, but they begin to overfit after achieving a certain accuracy due to the coordinate-transform-problem. Different image conditions like variation-in-viewpoint or illumination can be pragmatic for image processing and require on-device calibration. This paper proposes a framework that works with low-computational-complexity in varied environmental conditions to provide efficient gaze estimations that points out screen coordinates in real-time. We use a depth-wise convolution, an expansion and a projection layer along-with coordinate-channels to improve classification. The model is experimented against different environmental conditions, multiple subjects, image augmentation and different data sizes in real-time to estimate the coordinate classes using eye-movements on a standard web camera, yielding better accuracy and preventing overfitting of model with fewer hardware requirements.
Analisis Usability Untuk Mengukur Efektivitas Implementasi Sistem Keuangan Desa

Artikel ini ditulis dengan tujuan untuk mengukur tingkat kepuasan pengguna terhadap penerapan aplikasi system keuangan desa. Metode yang digunakan dalam penelitian ini mengikuti alur deskriptif, dengan memberikan kuesioner System Usability Testing (SUS) pada perangkat desa yang menggunakan system keuangan desa. Hasil dari pernyataan kuesioner dengan mengikuti langkah–langkah perhitungan kuesioner menurut Brooke diketahui bahwa tingkat kepuasan pengguna terkait dengan system keuangan desa berada pada skor rata-rata 62 yang dapat dikategorikan pengguna cukup puas dalam mengimplementasikan sistem.
Deep learning approach for Image captioning in Hindi language

Generating image description automatically from the content of an image is one of the fundamental problem in artiﬁcial intelligence. This task involves the knowledge of both computer vision and natural language processing, called “Im-age caption generation”. Many research has been carried out in this ﬁeld, but it was mainly focused on generating image descriptions in English, as existing image caption datasets are mostly in English. However, the image description generator model should not be limited by language. The lack of image captioning dataset other than English is a problem, especially for a morphologically rich language such as Hindi. Thus, this research constructed Hindi image description dataset based on images from Flickr8k dataset using Google cloud translator, which is called “Flickr8k-Hindi Datasets”. The Flickr8k-Hindi Datasets consist of four datasets based on a number of description per image and clean or unclean descriptions. The study uses these Hindi datasets to train encoder-decoder neural network model. The experiments showed that training the model with a single clean description per image generates high-quality caption than a model trained with ﬁve uncleaned descriptions per image. Although model trained with ﬁve uncleaned descriptions per image achieved BLEU-1 score of 0.585, which is the current state of art.
A New Split-Radix FHT Algorithm for Length- DHTs

In this paper, a new split-radix fast Hartley transform (FHT) algorithm is proposed for computing the discrete Hartley transform (DHT) of an arbitrary length , where is an odd integer. The basic idea behind the proposed FHT algorithm is that a mixture of radix-2 and radix-8 index maps is used in the decomposition of the DHT. This idea and the use of an efficient in- dexing process lead to a new decomposition different from that of the existing split-radix FHT algorithms, since the existing ones are all based on the use of a mixture of radix-2 and radix-4 index maps. The proposed algorithm reduces substantially the operations such as data transfer, address generation, and twiddle factor evaluation or access to the lookup table, which contribute significantly to the execution time of FHT algorithms. It is shown that the arithmetic complexity (multiplications additions) of the proposed algorithm is, in almost all cases, the same as that of the existing split-radix FHT algorithm for length- DHTs. Since the proposed al- gorithm is expressed in a simple matrix form, it facilitates an easy implementation of the algorithm, and allows for an extension to the multidimensional case. Index Terms—Discrete Hartley transform (DHT), fast Hartley transform (FHT) algorithms, mixed radix, split radix.
Cloacal anomaly and cleft palate following Phenobarbital usage during pregnancy: the first report

Background: Â Several congenital malformations such as craniofacial and digitalÂ abnormalities, and less commonly, cleft lip and palate have been reported withÂ phenobarbital. According to our knowledge, it is the first report of cloacal anomalyÂ and cleft palate following prenatal phenobarbital exposure. Case: A 20-year-old gravid 1, Para 1 woman at 40 weeks of gestation was admittedÂ for a normal vaginal delivery. She had a history of convulsion one month beforeÂ pregnancy. The described dosage of Phenobarbital by her physician was 100mgÂ every night but she had increased the dosage to 100mg q8h incidentally. OtherÂ medication was folic acid in usual dosage and continued until delivery. There wasÂ no familial history of birth defects, any antenatal infection or exposure to any otherÂ medications, alcohol, smoking, or exposure to X-rays. Pregnancy was uncomplicatedÂ and a baby girl weighing 2600g was born. APGAR scores were 8 and 9 at 1 andÂ 5 minutes, respectively. By clinical picture, diagnosis of cloacal anomaly wasÂ confirmed. The other anomalies were cleft palate, a small patent ductus arteriosusÂ in echocardiography and a short sacrum. A nuclear renal scan, which was performedafter two months, suggested severe decrease perfusion and function of right kidney. Â The patient was treated with multiple operations on oral, urogenital and anorectalÂ system. Â Conclusion: In addition to previously recognized risks associated withÂ phenobarbital during pregnancy, cloacal anomaly should be considered as a possibleÂ adverse outcome.
Tackling HIV / AIDS in Africa -- another perspective.

Worldwide research teams are working to develop effective safe and affordable treatments and vaccines against HIV. A significant number of studies have already been carried out in Africa by local regional and international research teams. Results have shown a recognition that antiretroviral therapy given to pregnant women prior to or during delivery reduces materno-infant transmission of HIV. There is also evidence that cleansing the birth canal with antiseptics may reduce transmission. This paper questions how the African people have benefited from the interventions considering the factors of poverty and culture in the region. In the discussion it is noted that although efforts to combat the problem were not so successful there is still evidence that intervention programs can work. An excellent example is the situation in Uganda where new HIV infection rates are declining. Moreover some studies have found that early detection and effective treatment of sexually transmitted infections prevent HIV spreading and these recommendations have been adopted in many countries. However much has yet to be done in order to totally prevent and eradicate the HIV/AIDS pandemic particularly in sub-Saharan Africa.
Mathematical Modeling of Porous Medium for Sound Absorption Simulations II: Wave Propagation and Interface Conditions

The application of porous medium has a myriad of applications in different industries: automotive, aerospace, civil (commercial, residential), environmental noise control, and biomedical. In the past, design questions involving porous material were addressed with seat-of-the-pants decisions that led to multiple/iterative prototypes and experiments that were costly and time consuming. The objective, in this series of publications pertaining to porous medium, is to establish tools that will lead to effective and accurate simulations involving porous medium. In this third installment of this series the focus is on establishing the constitutive equations using tensors and then applying Transfer Matrix Method (TMM) to calculate diffuse field Transmission Loss (TL) across structures that comprises of layers of different porous medium. The constitutive equations are obtained by relating information regarding the micro-structure make-up to macro level properties. In order to apply the TMM, the equations for wave propagation across different mediums need to be developed and in turn represent these propagation properties in a matrix format. Additionally, the boundary condition between each layer type is defined in order to ensure numerical stability. The author’s current research effort is running simulations for the automotive industry to predict NVH environments. Therefore, TL calculations pertaining to the materials that are utilized in the interior of automobiles are used, in this paper, as a test bed for the developed analytical tools. Case in point, the TL for a multi-layered material consisting of one panel and two different layers of foam is calculated and compared to experimental data. Future publication goals will be to apply these tools in the biomedical field; an example will be to model and run simulations of different organs like the liver and lungs that are po-rous in nature.
Modelling the Dynamics

This paper addresses the development of an average value based model, for the network dynamics of a predominantly scattered and geographically dependent consumer distribution system. The continuous observation of the load currents in three different phases of distribution transformers, fixation of its average values on real time basis, mathematical model development with the above average value as base factor are the basic steps of this method, which subsequently leads to a time based dynamics. The validation of the so developed model is done by experimenting in a working system.
PseudoChecker: An integrated online platform for automatised gene loss inference in mammals

Gene duplication bursts and amino acid substitutions have often been assigned to the evolution of phenotypic traits. Much less explored is the role of gene loss as an engine of evolutionary change, either from adaptive or regressive perspectives. Remarkably, mammals provide a reference test case to address the role and importance of gene loss as a major driver in evolution. They successfully colonised a large range of habitats, including land, water, air and display tantalising phenotypic adaptations to their surrounding environment. Paradoxically, the study of gene loss across mammalian lineages is still in its early infancy, and only a few years ago, gene loss studies highlighting this taxon started to emerge. The rapid increase of high-quality genome assemblies requires the introduction of automated methods capable of leveraging their comprehensive study. Particularly, for addressing and promoting the study of gene loss as a source of mammalian evolutionary innovation, a systematic, highly accurate, and computational automatised approach is ultimately required. With this thesis culminated the development of PseudoChecker : the first integrated online platform for automatised gene loss inference in mammals. Amongst the few existing methods, our comparative genomics-based approach comprehends the unique displaying full automation, built-in inclusion of a graphical user interface, an index of pseudogenisation the PseudoIndex, and finally, but not least important, displaying its full integration as a web service, not only allowing to keep PseudoChecker as a multi-platform and constantly updated bioinformatics tool, but facilitating its expedite and easy usability for the quick identification of gene loss. In a short amount of time, by scrutinising published lost genes in Mammalia and presumed viable genes in the same group of species, using human as reference species, on average, PseudoChecker was able to correctly capture over 95% of the tested mammalian gene functionality events and over 97% of the analysed gene loss events. Importantly, PseudoChecker, currently in Version 0.8, still constitutes a prototype and a set of improvements, including support for polymorphic loss (population analysis), and built-in inclusion of selection analyses can be employed. Moreover, on the technical side, the implementation of multi-core processing, as well as code rewriting in more efficient, mid-level compiled languages, would also benefit from speed improvements. Finally, with minor modifications and adequate testing, the ultimate natural evolution of PseudoChecker passes by its expandability to nonmammalian animal lineages.
Book Review: Carcinoma of the Thyroid Gland

siderable improvement in the care of these patients in recent years. The section on epilepsy is clear and concise. The author states that if in a case of epilepsy clinical examination, electroencephalography and plain X-rays of the skull provide no evidence of a focal lesion it is unlikely, at that stage, that further investigation will do so. He does not support the view that all patients with epilepsy of late onset require investigation with air encephalography or angiography. The section on treatment of status epilepticus, however, is disappointing. The urgency of treatment is not mentioned, and the dose of drugs recommended is conservative. On the other hand, procedures of such doubtful therapeutic value as withdrawal of cerebrospinal fluid and washing out the bowel with an enema are advised. Sections two, three, four and five deal respectively with localized disorders, with infection, with diffuse disorders and with psychological aspects of neurology. They are clearly and readably written. The illustrations are well reproduced, and some of the clinical illustrations are of an outstanding quality. In a practical book of this type more clinical and fewer pathological illustrations would be welcome.
Impact of 2-Step Laboratory Testing Procedures for Clostridium difficile Infection on Physicians’ Treatment Decisions

BackgroundClostridium difficile (CD) is a major cause of hospital-associated diarrhea, and both disease severity and prevalence have increased over the past decade. Our laboratory has used a 2-step algorithm for CD laboratory testing since 2008. In 2011, we replaced the toxin A/B enzyme immunoassay (EIA) confirmatory step-2 part of the procedure with the illumigene molecular assay. This retrospective study evaluated the clinical impact this change had on physicians’ decisions to not start or to stop empiric CD treatment based on negative test results. MethodsMedical records on inpatients from June to December 2010 with glutamate dehydrogenase (GDH) negative test results for Clostridium difficile were first reviewed for physicians’ actions. Additional records from inpatients with GDH-positive/toxin A/B EIA–negative specimens from this same time period and the same number of inpatients with GDH-positive/illumigene-negative specimens from June to December 2011 were also reviewed and the treatment decisions compared. ResultsOf 145 patients with GDH-negative test results, 74.5% were never treated for C difficile infection, 20.7% had treatment stopped within 3 days of the test result, and only 4.8% were continued on treatment. Of 60 patients with GDH-positive/toxin A/B EIA–negative test results, 26.7% were never treated, 36.7% had treatment stopped within 3 days, but 36.7% were continued on treatment for more than 3 days. The toxin A/B portion of the 2-step algorithm was changed in early 2011 to the illumigene C difficile molecular assay. Of 60 patients with GDH-positive/illumigene-negative test results, 36.7% were never treated, 48.3% had treatment stopped within 3 days, and only 15% of patients were continued on treatment. ConclusionsResults show that GDH-negative results influence physicians not to treat or to stop empiric treatment for C difficile infection. In addition, more patients were continued on treatment (>3 days) with a toxin A/B EIA–negative result and then with an illumigene-negative result (36.7% vs. 15% respectively, P = 0.007).
Learnable factored image representation for visual discovery

This thesis proposes an approach for analyzing unpaired visual data annotated with time stamps by generating how images would have looked like if they were from different times. To isolate and transfer time dependent appearance variations, we introduce a new trainable bilinear factor separation module. We analyze its relation to classical factored representations and concatenation-based auto-encoders. We demonstrate this new module has clear advantages compared to standard concatenation when used in a bottleneck encoder-decoder convolutional neural network architecture. We also show that it can be inserted in a recent adversarial image translation architecture, enabling the image transformation to multiple different target time periods using a single network.
Hazard rate estimation for call center customer patience time

Abstract Estimating the hazard function of customer patience time has become a necessary component of effective operational planning such as workforce staffing and scheduling in call centers. When customers get served, their patience times are right-censored. In addition, the exact event times in call centers are sometimes unobserved and naturally binned into time intervals, due to the design of data collection systems. We develop a TunT (Transform-unTransform) estimator that turns the difficult problem of nonparametric hazard function estimation into a regression problem on binned and right-censored data. Our approach starts with binning event times and transforming event count data with a mean-matching transformation, which enables a simpler characterization of the heteroscedastic variance function. A nonparametric regression technique is then applied to the transformed data. Finally, the estimated regression function is back-transformed to yield an estimator for the original hazard function. The proposed estimation procedure is illustrated using call center data to reveal interesting customer patience behavior, and health insurance plan trial data to compare the effect between treatment and control groups. The numerical study shows that our approach yields more accurate estimates and better staffing decisions than existing methods.
Vertebral artery dissecting aneurysm associated with abducens nerve palsy: a report of 7 cases and review of literature

Objective: Characteristics of abducens nerve palsy caused by subarachnoid hemorrhage (SAH) originating from ruptured vertebral artery (VA) dissecting aneurysm were investigated. Methods: Twenty-six patients with SAH from ruptured VA dissecting aneurysm were treated in our hospital during the last 10 years. Seven patients developed abducens nerve palsy, 3 men and 4 women aged 43–75 years (mean 57 years). Their clinical courses were reviewed retrospectively. Results: On admission, two of the 7 patients were Hunt and Kosnik grade II and the others were grade V. Abducens nerve palsy was bilateral in 3 cases, unilateral in 3, and on unknown side in 1. All ruptured aneu-rysms were accompanied by ipsilateral palsy. Computed tomography demonstrated diffuse SAH (especially a thick clot in the prepontine cistern) in 6 of the 7 patients and acute hydrocephalus in 2 patients. Abducens nerve palsy had completely disappeared in 5 patients and was incompletely resolved in 2. Conclusions: Abducens nerve palsy caused by SAH originating from ruptured VA dissecting aneurysm was found in 7 of our 26 patients (26.9%). Abducens nerve palsy occurred on the side ipsilateral to the ruptured aneurysm, associated with a thick clot in the prepontine cistern. Of 7 patients, ﬁve were completely recovered and the others (2) were improved. Therefore, mechanical injuries caused by direct compression by the clot or bloody jet ﬂow from the rupture could be responsible for such abducens nerve palsy. However, false localizing sign due to acute hydrocephalus could not be ruled out. (Jpn 35:
Identifying Occupational Performance Issues with Older Adults: Therapists’ Perspectives

Background Identifying occupational performance issues is an essential component of the occupational therapy process. Little attention has been paid to therapists’ management of this aspect of geriatric practice. Purpose This study explored therapists’ approach to identifying occupational performance issues (OPI) with older adults. Methods Information gathered from semi-structured interviews was analyzed using Polkinghorne's (1995) analysis of narrative method. Findings The study demonstrated how therapists prepare clients to engage in the OPI identification process; use interviewing strategies to build trust; and tap into client narratives to foster hope in occupational possibilities. Implications Findings suggest that therapists require a complex set of highly skilled strategies to engage clients in OPI identification through tapping into aspects of the client's motivational influences, occupational histories, therapy expectations, and generational attitudes about aging. Further study is required to identify ways to overcome structural barriers to more occupational and narrative-based approaches to identifying occupational performance issues.