Miracle-dz/UniFAR-FTUs huggingface dataset:
spatial-pool 3 conv 4 spatial-pool 4 Receptive Fields in the Brain

Humans can recognize objects in a way that is invariant to scale, translation, and clutter. We use invariance theory as a conceptual basis, to computationally model this phenomenon. This theory discusses the role of eccentricity in human visual processing, and is a generalization of feedforward convolutional neural networks (CNNs). Our model explains some key psychophysical observations relating to invariant perception, while maintaining important similarities with biological neural architectures. To our knowledge, this work is the first to unify explanations of all three types of invariance, all while leveraging the power and neurological grounding of CNNs.
Guanabenz in essential hypertension

Fifty‐five patients with mild to moderately severe essential hypertension were treated with guanabenz (2,6‐dichlorobenzylidene aminoguanidine acetate) in doses from 4 to 16 mg twice daily in a randomized, placebo‐controlled study. The patients treated with placebo in the initial phase of the study were subsequently treated with guanabenz. The mean arterial pressure in the guanabenz group decreased from 130.6 to 107.6; that in the placebo group decreased from 129.6 to 126.6 standing and from 126.6 to 109.9 and 128.8 to 120.5, respectively, supine. The principle adverse effects included sedation, dry mouth, weakness, and tiredness. Of the guanabenz‐treated patients 84% had sustained decrease in supine diastolic blood pressure of 10 mm Hg or more, whereas in the placebo‐treated patients only 32% had such a response. There was no signijicant orthostatic hypotension. Guanabenz thus appears to be an effective antihypertensive drug in patients with mild to moderately severe hypertension.
Not Just Another Pain in the Neck

A 56-year-old man presents to the emergency department with complaints of neck pain with numbness to the right upper extremity. The complaints and symptoms initially appear to be cervical radiculopathy but further diagnostic testing during an inpatient hospitalization revealed an unusual diagnosis. The purpose of this article is to bring awareness to practitioners of the alternative and sometimes rare diagnosis of neck pain. A detailed history and physical examination accompanied with diagnostic testing and collaboration can ensure a definitive diagnosis and positive outcome.
Lysosomal Turnover, but Not a Cellular Level, of Endogenous LC3 is a Marker for Autophagy

During starvation-induced autophagy in mammals, autophagosomes form and fuse with lysosomes, leading to the degradation of the intra-autophagosomal contents by lysosomal proteases. During the formation of autophagosomes, LC3 is lipidated, and this LC3-phospholipid conjugate (LC3-II) is localized on autophagosomes and autolysosomes. While intra-autophagosomal LC3-II may be degraded by lysosomal hydrolases, recent studies have regarded LC3-II accumulation as marker of autophagy. The effect of lysosomal turnover of endogenous LC3-II in this process, however, has not been considered. We therefore investigated the lysosomal turnover of endogenous LC3-II during starvation-induced autophagy using E64d and pepstatin A, which inhibit lysosomal proteases, including cathepsins B, D, and L. We found that endogenous LC3-II significantly accumulated in the presence of E64d and pepstatin A under starvation conditions, increasing about 3.5 fold in HEK293 cells and about 6.7 fold in HeLa cells compared with that in their absence, whereas the amount of LC3-II in their absence is cell-line dependent. Morphological analyses indicated that endogenous LC3-positive puncta and autolysosomes increased in HeLa cells under starvation conditions in the presence of these inhibitors. These results indicate that endogenous LC3-II is considerably degraded by lysosomal hydrolases after formation of autolysosomes, and suggest that lysosomal turnover, not a transient amount, of this protein reflects starvation-induced autophagic activity.
Co-Parenting Relationship Experiences of Black Adolescent Mothers in Active Romantic Partnerships With the Fathers of Their Children

We conducted an interpretive description of co-parenting relationship experiences of romantically involved Black adolescent mothers and fathers with shared biological children. The study was conducted in Brooklyn, New York, using data from individual in-depth interviews with adolescent mothers and fathers (n = 10). Four themes were identified: (a) putting our heads together; (b) balancing childhood and parenthood; (c) less money, more problems; and (d) if we use condoms, it is for contraception. The co-parenting couples managed very complex relationships, but their mutual interest in the welfare of their children was a relational asset. Co-parents had sparse financial resources but used a moral economy strategy to provide mutual support. Future research is needed that focuses on identifying other co-parent relationship assets and integrating and evaluating their utility for enhancing interventions for adolescent families.
Predictor agent for online auction closing price

Online auction has given consumers a ""virtual"" flea market with all the new and used merchandises from around the world. Due to the increasing demand of online auction, consumers are faced with the problem of monitoring multiple auction houses, picking which auction to participate in, and making the right bid. If bidders are able to predict the closing price for each auction, then they are able to make a better decision on the time, place and the amount they can bid for an item. However, predict closing price for an auction is not easy since it is dependent on many factors such as the behaviour and the number of the bidders. This thesis investigates one of the methods used in predicting the closing price of an auction called the Grey System Theory. This method has been known to accurately speculate values in areas where the information is insufficient. Three other predictor methods are compared with Grey System Theory which are Time Series, Artificial Neural Network and Simple Exponential Function. These four prediction methods are then applied into different agent. The Grey System Agent is compared with other prediction agents namely the Time Series Agent, the Artificial Neural Network Agent and the Simple Exponential Function Agent. The effectiveness of these agents is evaluated using a simulated auction environment as well as real data obtained from eBay. In conclusion, Grey System Agent is able to predict well in simulated marketplace and eBay. Besides that, moving observation increased the performance of the prediction.
A study on pattern encoding of local binary patterns for texture-based image segmentation

Image segmentation is an important technique for image analysis. For image clustering, the homogeneity of pixel features is usually measured using the Euclidean distance. When textures are used as features for clustering, an encoding scheme that can rationally describe the variations of textures in terms of Euclidean distance, which provides effective clustering results. This study discusses on the problem mentioned above, where the local binary pattern (LBP) is employed as features for clustering. A heuristic algorithm is designed for rearranging the LBP codes. The fuzzy c-means algorithm is used as the clustering method. Some images are applied for evaluation and the results are analyzed. Clustering results using our proposed method and the original LBP encoding are compared. Experimental results show that proper arrangement of LBP encoding improves the performance of image segmentation, without modifying the clustering algorithms.
Arrondi correct de fonctions mathématiques : fonctions univariées et bivariées, certification et automatisation

Cette these elargit l'espace de recherche accessible en pratique pour des implantations de fonctions mathematiques correctement arrondies en virgule flottante. Elle passe d'abord de l'arrondi correct de fonctions univariees comme log a des familles de fonctions univariees xn , puis a la fonction bivariees xy. Une approche innovatrice pour la detection de cas de frontiere d'arrondi de xy a l'aide d'une information partielle sur les pires cas de cette fonction est proposee. Cette innovation provoque un gain en vitesse consequent. Ensuite, cette these propose des approches automatiques pour certifier une implantation de fonction correctement arrondie. Pour la certification des bornes d'erreur d'approximation, un nouvel algorithme pour le calcul de normes infini certifiees est presente et mis en pratique. Puis les erreurs d'arrondi dans une implantation de fonction mathematique sont analysees par des techniques developpees pour l'outil de preuve formelle Gappa. Finalement, des algorithmes sont developpees qui permettent l'automatisation de l'implantation de fonctions. Une premiere mise en œuvre dans l'outil Sollya permet de generer et certifier, sans aucune intervention humaine, le code pour evaluer une fonction mathematique. A l'aide d'un tel outil automatique, de larges espaces de recherches peuvent etre parcouru afin d'optimiser une implantation. Au futur, une integration de ces techniques dans un compilateur est envisageable.
Emerging Techniques Network Pharmacology : An Emerging Technique for Natural Product Drug Discovery and Scientific Research on Ayurveda

Natural products from traditional medicine like Ayurveda are considered as attractive options in new drug discovery . Traditional poly herbal formulations contain many bioactives and are capable of modulating several disease targets. Studying complex relationships between the bioactives, targets, diseases and genes is now possible with help of emerging technique known as network pharmacology . This article briefly explains present status of drug research and highlights importance of network pharmacology as a new tool for drug and formulation discovery . Alr ady, network pharmacology has been successfully used to study traditional Chinese medicines. With help of Ayurvedic formulation Triphala, this article demonstrates how pharmacology networks of medicinal plants and their formulations can be constructed and used to understand putative actions, indications and mechanisms. The emerging technique of network pharmacology can serve as a valuable tool for scientific understanding of Ayurveda and natural product drug discovery .
A model for estimating the out‐degree of nodes in associated semantic network from semantic feature view

Association Link Network (ALN) can organize massive news data to support many intelligent Web applications. The degree estimating of nodes in ALN, including out‐degree and in‐degree, is an important and significant research. It can provide effective support for some applications such as the control of network structure, the rapid positioning of Web resources in ALN. This paper proposes a model for estimating the out‐degree of any one node in ALN from semantic feature view, which can greatly reduce the searching scope for the rapid positioning of Web resources stored in large‐scale database. First, we explore the main factors of forming the out‐degree of any one node from semantic feature view by qualitative analysis. Then, based on the result of qualitative analysis, we propose the model for estimating the out‐degree of any one node in ALN, including the model framework, the first estimating theory and its further optimization method. Experimental results show that the proposed estimating model as well as the optimization method have a high precision. Copyright © 2016 John Wiley & Sons, Ltd.
The Influence of Organizational Culture and Work Discipline on Motivation and Performance of Banking Employees

This research was conducted on banking employees, and aimed at namely; 1) Analyzing the influence of organizational culture and work discipline on employee motivation and performance; 2) Analyzing the influence of motivation on employee performance. The method of determining respondents is using purposive sampling and a total of 115 employees banking. Data collection uses questionnaire with liqueur measurement. Data analysis uses path analysis. The results of the study are; 1) Organizational culture has a significant effect on the work motivation of employees of Bank Jatim Banyuwangi Branch. Organizational culture that has become a positive behavior of employees in working will increase work motivation; 2) Work discipline has a significant effect on the work motivation of employees of Bank Jatim Banyuwangi Branch. Work discipline that becomes a guideline and has been embedded in its employees will increase work motivation; 3) Organizational culture has a significant effect on the performance of employees of Bank Jatim Banyuwangi Branch. Organizational culture that has become the basis for behavior and development in the organization will improve employee performance; 4) Work discipline has a significant effect on the performance of employees of Bank Jatim Banyuwangi Branch. Work discipline that has become the basis of employees in working will improve employee performance; 5) Work motivation has a significant effect on the performance of employees of Bank Jatim Banyuwangi Branch. Work motivation that has become a strong impetus for employees to work will improve employee performance.
Which is more suitable for MMCC-based medium-voltage motor drives, a DSCC inverter or a TSBC converter?

This paper provides theoretical, numerical, and experimental comparisons in electrical-drive performance between a double-star chopper-cells (DSCC) inverter and a triple-star bridge-cells (TSBC) converter. The inverter and converter are two of the most promising members of the modular multilevel cascade converter (MMCC) family. Two sets of downscaled electrical drives using the DSCC inverter and the TSBC converter are designed, constructed, and tested, along with the common three-phase four-pole induction motor rated at 380 V, 15 kW, and 50 Hz. This paper presents experimental waveforms of the electrical drives loaded with a quadratic torque-to-speed profile and at the rated torque.
Evolutionary Graph Clustering for Protein Complex Identification

This paper presents a graph clustering algorithm, called EGCPI, to discover protein complexes in protein-protein interaction (PPI) networks. In performing its task, EGCPI takes into consideration both network topologies and attributes of interacting proteins, both of which have been shown to be important for protein complex discovery. EGCPI formulates the problem as an optimization problem and tackles it with evolutionary clustering. Given a PPI network, EGCPI first annotates each protein with corresponding attributes that are provided in Gene Ontology database. It then adopts a similarity measure to evaluate how similar the connected proteins are taking into consideration the network topology. Given this measure, EGCPI then discovers a number of graph clusters within which proteins are densely connected, based on an evolutionary strategy. At last, EGCPI identifies protein complexes in each discovered cluster based on the homogeneity of attributes performed by pairwise proteins. EGCPI has been tested with several real data sets and the experimental results show EGCPI is very effective on protein complex discovery, and the evolutionary clustering is helpful to identify protein complexes in PPI networks. The software of EGCPI can be downloaded via: https://github.com/hetiantian1985/EGCPI.
Painful neuropathies: the emerging role of sodium channelopathies

Pain is a frequent debilitating feature reported in peripheral neuropathies with involvement of small nerve (Aδ and C) fibers. Voltage‐gated sodium channels are responsible for the generation and conduction of action potentials in the peripheral nociceptive neuronal pathway where NaV1.7, NaV1.8, and NaV1.9 sodium channels (encoded by SCN9A, SCN10A, and SCN11A) are preferentially expressed. The human genetic pain conditions inherited erythromelalgia and paroxysmal extreme pain disorder were the first to be linked to gain‐of‐function SCN9A mutations. Recent studies have expanded this spectrum with gain‐of‐function SCN9A mutations in patients with small fiber neuropathy and in a new syndrome of pain, dysautonomia, and small hands and small feet (acromesomelia). In addition, painful neuropathies have been recently linked to SCN10A mutations. Patch‐clamp studies have shown that the effect of SCN9A mutations is dependent upon the cell‐type background. The functional effects of a mutation in dorsal root ganglion (DRG) neurons and sympathetic neuron cells may differ per mutation, reflecting the pattern of expression of autonomic symptoms in patients with painful neuropathies who carry the mutation in question. Peripheral neuropathies may not always be length‐dependent, as demonstrated in patients with initial facial and scalp pain symptoms with SCN9A mutations showing hyperexcitability in both trigeminal ganglion and DRG neurons. There is some evidence suggesting that gain‐of‐function SCN9A mutations can lead to degeneration of peripheral axons. This review will focus on the emerging role of sodium channelopathies in painful peripheral neuropathies, which could serve as a basis for novel therapeutic strategies.
Dual role of junctin in the regulation of ryanodine receptors and calcium release in cardiac ventricular myocytes

Non‐technical summary Each heartbeat is accompanied by the coordinated release of calcium ions into cardiac cells through ryanodine receptors, which span the membrane of the sarcoplasmic reticulum. We show that an intra‐sarcoplasmic reticulum protein, junctin, interacts with ryanodine receptor channels and appears to activate them when calcium inside the sarcoplasmic reticulum is low. Conversely, junctin appears to act as an inhibitor of ryanodine receptors when calcium inside the sarcoplasmic reticulum is high. Knowledge of how junctin interacts with ryanodine receptors helps us to understand how calcium within the sarcoplasmic reticulum helps to regulate ryanodine receptor activity in normal hearts and also helps us to understand why junctin is decreased in patients diagnosed with certain forms of heart failure.
The Collaborative Use of Patients' Health-Related Information: Challenges and Research Problems in a Networked World

The advancement in the field of information and communication technology has generated a great deal of information that was not possible to access earlier. Healthcare systems are one of the most beneficial applications using wireless medical sensor technologies, which can facilitate patient care within homes, hospitals, clinics, disaster sites, and the open environment. The integration and sharing of such information can contribute significantly to a better understanding of patients’ health conditions and therefore to improving the quality of healthcare provided to them. However, in order to achieve sufficient levels of collaborative use of information among healthcare-related practitioners, there is a need to overcome a number of issues such as privacy and interoperability, among others. This chapter discusses two of the main challenges encountered before healthcare information systems can collaboratively share patients’ records, namely privacy and interoperability. The Collaborative Use of Patients’ HealthRelated Information: Challenges and Research Problems in a Networked World
Mengapa Perusahaan Terlambat Menerbitkan Laporan Keuangan?

Penelitian ini bertujuan untuk mengetahui ada tidaknya perbedaan laporan keuangan auditan yang disampaikan tepat waktu dan laporan keuangan auditan yang disampaikan tidak tepat waktudilihat dari sisi ukuran perusahaan, laba/rugi operasi, reputasi KAP, solvabilitas dan profitabilitas pada perusahaan publik pertambangan yang tercatat di Bursa Efek Indonesia pada tahun 2014 sampai 2016. Total sampel perusahaan dalam penelitian ini adalah 102 sampel yang diperoleh dengan metode purposive sampling. Data dalam penelitian ini dianalisis menggunakan pengujian statistik non parametrik yakni Uji Mann-Whitney. Hasil penelitian ini menunjukkan bahwa terdapat perbedaan ukuran perusahaan, laba rugi operasi, dan reputasi KAP pada laporan keuangan yang disampaikan tepat waktu dan laporan keuangan yang di penyampaian terlambat. Namun tidak ada perbedaan profitabilitas dan solvabilitas perusahaan pada laporan keuangan yang disampaikan tepat waktu dan laporan keuangan yang di penyampaian terlambat.
Characterization of randomness sources in ring oscillator-based true random number generators in FPGAs

The paper deals with the characterization of sources of randomness in true random number generators aimed at cryptographic applications implemented in Field Programmable Gate Arrays (FPGA). One of the most often used source of randomness in logic devices is the timing jitter present in clock signals, generated using ring oscillators (RO). In order to estimate the entropy of the generated random bit-stream, it is necessary to characterize the employed timing jitter. Using the simulation of the clock jitter injection into the gates of RO we show that the proportion of jitter from uncorrelated and correlated noise sources on the overall period jitter depends on the number of delay elements (inverters). We also propose a new and precise method of the jitter measurement outside the device based on the use of the differential device outputs in conjunction with a differential oscilloscope probe. The measured standard deviation of the clock period is more than two times smaller than the one obtained using traditional methods. Employing the proposed measurement method we show that the jitter profile of the RO-generated clock and its sensitivity to global jitter sources (e. g. deterministic jitter) is strongly dependent on the architecture and topology of the oscillator.
The chronological life span of Saccharomyces cerevisiae

Simple model systems have played an important role in the discovery of fundamental mechanisms of aging. Studies in yeast, worms and fruit flies have resulted in the identification of proteins and signalling pathways that regulate stress resistance and longevity. New findings indicate that these pathways may have evolved to prevent damage and postpone aging during periods of starvation and may be conserved from yeast to mammals. We will review the yeast S. cerevisiae model system with emphasis on the chronological life span as a model system to study aging and the regulation of stress resistance in eukaryotes.