Miracle-dz/UniFAR-FTUs huggingface dataset:
HUBUNGAN DUKUNGAN KELUARGA TERHADAP KEJADIAN DEPRESI PADA LANSIA YANG TINGGAL BERSAMA KELUARGA DI WILAYAH KERJA PUSKESMAS KOTA BUMI II LAMPUNG UTARA

Depresi pada usia lanjut dapat terjadi karena proses menua karena terjadi penurunan fungsi fisiologis tubuh, penurunan penghasilan, perpisahan, kehilangan pasangan hidup dan faktor lain.Lansia memerlukan dukungan keluarga untuk mencegah depresi.Namun, tidak semua lansia mendapatkan dukungan keluargawalaupun tinggal bersama keluarga. Penelitian ini bertujuan untuk mengetahui hubungandukungan keluarga terhadap kejadian depresi pada lansia yang tinggal bersama keluarga. Studi penelitian menggunakan desain cross sectional. Populasi penelitian adalah lansia dengan sampel 400 lansia dengan depresi. Teknik pengambilan sampel menggunakan proporsional random sampling . Pengumpulan data menggunakan instrumen A.P.G.A. R ( Adaptation, Partnership, Growth, Affection, Resolve ) untuk variabel dukungan keluarga dan Geriatric Depression Scale (GDS) untuk variabel depresi. Hasil penelitian menyimpulkan ada hubungan yang bermakna antara dukungan keluarga terhadap kejadian depresi pada lansia yang tinggal bersama keluarga di wilayah kerja Puskesmas Kotabumi II Lampung Utara ( p= 0,020). Pentingnya upaya memberdayakan keluarga dengan usia lanjut oleh Puskesmas untuk mencegah atau mengurangi kejadian depresi pada usia lanjut dengan penyuluhan tugas-tugas keluarga dengan lansia dan membentuk karang werdha untuk menggalakkan senam lansia di setiap desa saat Posyandu Lansia.
Object-based Detection and Classification of Vehicles from High-resolution Aerial Photography

Vehicle counts and truck percentages are important input variables in both noise pollution and air quality models, but the acquisition of these variables through fixed-point methods can be expensive, labor-intensive, and provide incomplete spatial sampling. The increasing availability and decreasing cost of high spatial resolution imagery provides an opportunity to improve the descriptive ability of traffic volume analysis. This study describes an object-based classification technique to extract vehicle volumes and vehicle type distributions from aerial photos sampled throughout a large metropolitan area. We developed rules for optimizing segmentation parameters, and used feature space optimization to choose classification attributes and develop fuzzy-set memberships for classification. Vehicles were extracted from street areas with 91.8 percent accuracy. Furthermore, separation of vehicles into classes based on car, medium-sized truck, and buses/heavy truck definitions was achieved with 87.5 percent accuracy. We discuss implications of these results for traffic volume analysis and parameterization of existing noise and air pollution models, and suggest future work for traffic assessment using high-resolution remotely-sensed imagery.
MICAbot: a robotic platform for large-scale distributed robotics

This paper presents a novel robotic platform for experimental research in large-scale distributed robotics and mobile sensor networks. The MICAbot is both inexpensive and flexible making it useful for a wide range of experimental goals. In this paper, we provide a description of the MICAbot design. Furthermore, we also discuss general design considerations involved in designing large-scale distributed robots focusing on cost, size, and functionality.
On Providing DDL Support for a Relational Layer over a Document NoSQL Database

NoSQL databases are gaining ground due to the need for several applications to manipulate large volumes of data without worrying about database system tuning and scaling. However, many applications still use relational databases and do not want to replace their access methods in order to properly manipulate their data on the cloud using now a NoSQL technology. To deal with this problem, a relational-cloud mapping strategy, in terms of data model and data operations, is able to provide a relational view of NoSQL data, eliminating the need for adjustments in the application interface for data management. SimpleSQL is a solution for this problematic. It is a relational layer for Amazon SimpleDB, one of the most popular document NoSQL databases. Although SimpleSQL had proved to be a promising approach in terms of performance, its current version provides only the mapping of SQL DML operations. This paper presents an extension of SimpleSQL to support also DDL operations. This extension allows the creation and manipulation of the database schema from the application (client) side, abstracting any knowledge about data definition at SimpleDB. Preliminary experiments show that our solution continues to be feasible, since the overhead with DDL operations through SimpleSQL is not prohibitive.
Derivation of a parameter stabilizing training criterion for adaptive neuro-fuzzy inference systems in motion control

This paper presents a novel training algorithm for adaptive neuro-fuzzy inference systems. The algorithm combines the error back-propagation algorithm with the variable structure systems approach. Expressing the parameter update rule as a dynamic system in continuous time and applying sliding mode control (SMC) methodology to the dynamic model of the gradient based training procedure results in the parameter stabilizing part of training algorithm. The proposed combination therefore exhibits a degree of robustness to the unmodelled multivariable internal dynamics of the gradient-based training algorithm. With conventional training procedures, the excitation of this dynamics during a training cycle can lead to instability, which may be difficult to alleviate owing to the multidimensionality of the solution space and the ambiguities concerning the environmental conditions. This paper shows that a neuro-fuzzy model can be trained such that the adjustable parameter values are forced to settle down (parameter stabilization) while minimizing an appropriate cost function (cost optimization), which is based on state tracking performance. In the application example, trajectory control of a two degrees of freedom direct drive robotic manipulator is considered. As the controller, an adaptive neuro-fuzzy inference mechanism is used and, in the parameter tuning, the proposed algorithm is utilized.
Continuity in the Midst of Change: The Bereavement Experiences of Twelve Older Adult Widowers

The purpose of this study was to investigate how sp ou al bereavement affects the lives of men who are widowed in their 60s and older. In-depth in terviews were conducted with 12 widowers aged 68 to 94 years (average 83) whose wives had di ed 2 to 10 years earlier, following marriages that had lasted from 37 to 61 years (average 50 yea rs). The goal was to discover core themes that reflected the experiences and insights of these men , by analysis of their interviews using the grounded theory method with methodological hermeneu tics. The resulting theory is represented by a hierarchical category structure featuring one core category and two second-level categories, supported by multiple subcategories, branches, and sub-branches. The core category was interpreted as “Continuity in the Midst of Change,” which combines the grounded and stabilising force of continuity with the challenge and uncertai nty of change in the widowers’ lives. The diverse changes and challenges the men had faced, m ost notably, but not solely, the death of their wives, took place within the context of conti nuity in the men’s lives. The first second-level category, “Relationships, Work, and Activities,” co ncerns the past and present fundamental aspects of life for the widowers: the lasting effec ts of the lives they shared with their wives, ongoing relationships with family and friends, the communities they belonged to, and the work and other activities with which they were involved. These enduring effects collectively formed a life reviewing narrative that represented continuit y in the men’s present lives, which contributed to resilience in the aftermath of spousal loss. The ot r second-level category, “Death, Loss, and Other Changes,” represents the changes and challeng es the men recounted. The coexistence of conjugal bereavement in later life with other chall enges added additional complexity to loss. The findings of this study are discussed in light of be reavement theory and research, including the concepts of continuing bonds, resiliency, and meani ng, and also in reference to psychogerontology theory and research, including id eas about diversity, selectivity, continuity, and personality in later life. The theoretical and clinical implications of this study and recommendations for future research are discussed.
Grammar based statistical MT on Hadoop: An end-to-end toolkit for large scale PSCFG based MT

Grammar based statistical MT on Hadoop: An end-to-end toolkit for large scale PSCFG based MT This paper describes the open-source Syntax Augmented Machine Translation (SAMT) 1on Hadoop toolkit—an end-to-end grammar based machine statistical machine translation framework running on the Hadoop implementation of the MapReduce programming model. We present the underlying methodology of the SAMT approach with detailed instructions that describe how to use the toolkit to build grammar based systems for large scale translation tasks.
A theoretical comparison between two ruminal electron sinks

Dihydrogen accumulation resulting from methanogenesis inhibition in the rumen is an energy loss and can inhibit fermentation. The objective of this analysis was to compare the energetic and nutritional consequences of incorporating H2 into reductive acetogenesis or additional propionate production beyond the acetate to propionate shift occurring along with methanogenesis inhibition. Stoichiometric consequences were calculated for a simulated fermentation example. Possible nutritional consequences are discussed. Incorporating H2 into reductive acetogenesis or additional propionate production resulted in equal heat of combustion output in volatile fatty acids (VFA). Incorporation of H2 into reductive acetogenesis could result in moderate decrease in ruminal pH, although whole-animal buffering mechanisms make pH response difficult to predict. Research would be needed to compare the microbial protein production output. There could be post-absorptive implications due to differences in VFA profile. Electron incorporation into reductive acetogenesis could favor energy partition toward milk, but increase risk of ketosis in high-producing dairy cows on ketogenic diets. Greater propionate production could favor milk protein production, but may be less desirable in animals whose intake is metabolically constrained, like feedlot steers. Because of the different nutritional implications, and because practical solutions to incorporate H2 into either pathway are not yet available, it is recommended to research both alternatives.
Using a knowledge graph data structure to analyze text documents (VAST challenge 2014 MC1)

We describe the tools and the analysis pipeline we used in order to create a data structure out of the given data. Afterwards, we introduce a workflow used to find answers to the questions of VAST Challenge 2014 MCI. Most of the processes presented in the following have been used solely to create, refine a graph (node-link diagram), which is the foundation for everything we did in this mini challenge.
Sharing fear via facebook: A lesson in political public relations

Our study compared the use of fear messages on Facebook by Barack Obama and Mitt Romney during the 2012 U.S. presidential elections. Results show that written fear messages embedded in photographs posted on Facebook by both candidates affected the degree to which those photographs were shared. More specifically, photographs containing written fear messages were shared more often than photographs not containing written fear messages. Furthermore, while the challenging candidate, Mitt Romney, used more photographs containing fear messages, the increase in shares was consistent across candidates. Implications regarding information distribution within communities, public relations practitioners specializing in political campaigning and society as a whole are discussed.
On Parameter Estimation of Ricean Fading MIMO Channel: Correlated Signals and Spatial Scattering

The purpose of this paper is to account for estimating the MIMO channel parameters in the presence of stochastically correlated signals, spatial scattering and Ricean fading. A parametric framework based on the second-order statistic is developed herein. As manipulated a few of reduced parameterizations, we derive an explicit form of the array covariance matrix, an alternative expression of the Cramer-Rao bound (CRB), and two asymptotically efficient estimators. Numerical simulation is conducted to demonstrate the estimation possibility of three important parameters in wireless communication, such as the nominal direction, the angular spread and the generalized Rice factor. It appears that for a large number of temporal snapshots, the performance of both estimators can attain the CRB, while the asymptotic maximum likelihood estimator outperforms the weighted least squares criterion in non-asymptotic region
Study of Low – Power technique based on QRS detector for Implantable Pacemaker

A QRS detector operates in multi-mode with low complexity , power saving consumption for Implantable Pacemaker IC. The complexity of detector is optimized after testing dynamic range of internal signals. Correspondingly, static power consumption is reduced significantly. The dynamic power consumption is saved by using down-sampling rate structure and turning off deactive filter banks bases on noise estimation. This QRS detector is evaluated with MITBIH Arrhythmia database archives >99% detection
Nonlinear Control Design of 360-Degree Inverted Pendulum Systems

This paper develops a nonlinear backstepping design scheme for the control of a 360-degree inverted pendulum system. In this system, the friction between the cart and the rail is considered to approach the actual physical system. The 360-degree inverted pendulum system is divided into two zones according to angles of pendulum. The pendulum angle is defined to be zero if it is upright. Then we say that the system is inside the stabilization zone if the angle magnitude is not greater than one radian. Otherwise, the pendulum system stays in the swing-up zone. Our nonlinear design shows that the controller will successfully swing up the pendulum from downward position to upright position and centre the cart on the rail. The backstepping design scheme is employed to obtain a nonlinear controller to swing up the pendulum into the stabilization zone. As long as the pendulum reaches the stabilization zone, a linear controller designed by backstepping method will be switched to achieve the desired control objectives.
Co-ordination in Morphological Leaf Traits of Early Diverging Angiosperms Is Maintained Following Exposure to Experimental Palaeo-atmospheric Conditions of Sub-ambient O2 and Elevated CO2

In order to be successful in a given environment a plant should invest in a vein network and stomatal distribution that ensures balance between both water supply and demand. Vein density (Dv) and stomatal density (SD) have been shown to be strongly positively correlated in response to a range of environmental variables in more recently evolved plant species, but the extent of this relationship has not been confirmed in earlier diverging plant lineages. In order to examine the effect of a changing atmosphere on the relationship between Dv and SD, five early-diverging plant species representing two different reproductive plant grades were grown for 7 months in a palaeo-treatment comprising an O2:CO2 ratio that has occurred multiple times throughout plant evolutionary history. Results show a range of species-specific Dv and SD responses to the palaeo-treatment, however, we show that the strong relationship between Dv and SD under modern ambient atmospheric composition is maintained following exposure to the palaeo-treatment. This suggests strong inter-specific co-ordination between vein and stomatal traits for our study species even under relatively extreme environmental change. This co-ordination supports existing plant function proxies that use the distance between vein endings and stomata (Dm) to infer plant palaeo-physiology.
Sigmoid utility function formulation for handoff reducing Access model in cognitive radio

This paper investigates the issue of determining an appropriate utility function to model the Secondary User (SU) preference toward spectrum holes on the basis of their duration. A Sigmoid shaped utility function is proposed and a proper tuning is discussed to improve the representation of SU preference and to involve the radio quality on the access decision process. The performance and the suitability of the proposed utility function is investigated within an access model whose purpose is to reduce handoff process related to PU activity.
177Lu-DOTA-HYNIC-Lys(Nal)-Urea-Glu: Biokinetics, Dosimetry, and Evaluation in Patients with Advanced Prostate Cancer

SPECT/CT images in patients have demonstrated the ability of [99mTc]Tc-EDDA/HYNIC-Lys(Nal)-Urea-Glu ([99mTc]Tc-iPSMA) to detect tumors and metastases of prostate cancer. Considering that theranostics combines the potential of therapeutic and diagnostic radionuclides in the same molecular probe, the aim of this research was to estimate the biokinetics and dosimetry of 177Lu-DOTA-HYNIC-Lys(Nal)-Urea-Glu (177Lu-iPSMA) in healthy subjects and analyze the response in patients receiving 177Lu-iPSMA therapeutic doses. 177Lu-iPSMA was obtained from lyophilized formulations with radiochemical purities >98%. Whole-body images from five healthy subjects were acquired at 20 min, 6, 24, 48, and 120 h after 177Lu-iPSMA administration (185 MBq). The image sequence was used to extrapolate the 177Lu-iPSMA time-activity curves of each organ to adjust the biokinetic model and calculate the total number of disintegrations (N) that occurred in the source regions. N data were the input for the OLINDA/EXM code to calculate internal radiation doses. Ten patients (median age: 68 y; range 58–86 y) received from 1 to 4 cycles of 177Lu-iPSMA (3.7 or 7.4 GBq) every 8–10 weeks. Response was evaluated using the 68Ga-PSMA-ligand-PET/CT or 99mTc-iPSMA-SPECT/CT diagnostic images and serum PSA levels before and after 177Lu-iPSMA treatment. The blood activity showed a half-life value of 1.1 h for the fast component (T1/2α = ln2/0.614), 9.2 h for the first slow component (T1/2β = ln2/0.075), and 79.6 h for the second slow component (T1/2γ = ln2/0.008). The average absorbed doses were 0.23, 0.28, 0.88, and 1.17 Gy/GBq for the spleen, liver, kidney, and salivary glands. A total of 18 cycles were performed in 10 patients. A PSA decrease and some reduction of the radiotracer uptake (SUV) in tumor lesions occurred in 60% and 70% of the patients, respectively. 177Lu-iPSMA obtained from kit formulations showed high tumor uptake with good response rates in patients. The results obtained in this study warrant further clinical studies to establish the optimal number of treatment cycles and for evaluating the effect of this therapeutic agent on survival of patients.
Pedestrian detection using histograms of Oriented Gradients of granule feature

To robustly detect people in a video sequence is hard due to various challenges. One of the most successful discriminative features for finding people goes to the Histograms of Oriented Gradients (HOG). Although the major contour information is encoded in the HOG feature well, the background clutter disturbs the gradient information. Thus, an extension of HOG, called histograms of oriented gradient of granules (HOGG), is proposed. Instead of collecting gradient information at each pixel, the histograms of gradients in small regions are computed. HOGG with different granularity can describe the contour while ignoring the noisy edges. Moreover, the clutter background problem can be solved by encoding extra region information. With the help of the integral image technique, the evaluation of HOGG can be efficient. The final HOG+HOGG classifier obtains 92% detection rate at 10-4 false positive per window in the experiments.
A Model of the Common-Sense Theory of Intention and Personal Causation

Certain general properties of man's ability to interpret the actions of other persons are discussed. Some distinguishing features of this common-sense theory include the nature of the modal operators of Can and Try, the asymmetry of implication, and the capacity to embed models within models. The structure of a proposed model of this naive theory of personal causation is presented. This model arrives at a specific interpretation of another's actions by showing that these actions represent a possible path to a particular goal that is consistent with the axioms of the belief system's theory of human motivation and personality organization.
Biosynthetic Modularity Rules in the Bisintercalator Family of Antitumor Compounds

Diverse actinomycetes produce a family of structurally and biosynthetically related non-ribosomal peptide compounds which belong to the chromodepsipeptide family. These compounds act as bisintercalators into the DNA helix. They give rise to antitumor, antiparasitic, antibacterial and antiviral bioactivities. These compounds show a high degree of conserved modularity (chromophores, number and type of amino acids). This modularity and their high sequence similarities at the genetic level imply a common biosynthetic origin for these pathways. Here, we describe insights about rules governing this modular biosynthesis, taking advantage of the fact that nowadays five of these gene clusters have been made public (thiocoraline, triostin, SW-163 and echinomycin/quinomycin). This modularity has potential application for designing and producing novel genetic engineered derivatives, as well as for developing new chemical synthesis strategies. These would facilitate their clinical development.
Graph Partition Based Traffic Balance in Industrial Network

The traffic load balancing problem in switched industrial Ethernet is a key component of QoS performance, which is shown to be equivalent to a multi-constraint optimization problem: the network design should minimize the amount of inter-network communication time, and simultaneously balance the communication time and network size evenly over the resultant sub-networks. To solve this optimization problem, a graph partitioning strategy is proposed, which can give a good network solution by partitioning a graph- based representation of industrial network. In the experiments the network partitions obtained by graph partitioning strategy are compared with those obtained by a random partitioning method. The experimental results show the graph partitioning strategy is significantly better than those obtained by random partitioning method.
Modeling of nonlinear ultrashort optical pulse propagation

I present a numerical package, written in MATLAB, which provides a simplified scripting interface for simulating a host of ultrashort pulse propagation phenomena. With the proliferation of ultrashort laser technologies, the demand for efficient and accurate simulations has grown significantly. Here I introduce a linear-operator-based formalism for nonlinear pulse propagation beyond the slowly-varying-envelope approximation, which includes phenomena such as nonlinear wave mixing, plasma blue-shifting, and high harmonic generation. I also demonstrate the capabilities of our versatile simulation package, which can handle optical pulse propagation through a host of geometries and guiding structures. Finally, the simulation package is used to investigate a number of effects, particularly that of modulational instability in Kagome-type hollow-core photonic crystal fibers. Thesis Supervisor: Franz X. Kärtner Title: Adjunct Professor Thesis Supervisor: Erich P. Ippen Title: Elihu Thomson Professor of Electrical Engineering Emeritus Professor of Physics Emeritus