Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Machine Learning Techniques to Detect Glaucoma using Structure and Texture based Features

Survey of world health organization has revealed that retinal eye disease Glaucoma is the second leading cause for the blindness worldwide. It is the disease which will steal the vision of the patient without any warning or symptoms. About half of the world Glaucoma patients are estimated to be in Asia. Hence, for social and economic reasons, Glaucoma detection is necessary in preventing blindness and reducing the cost of surgical treatment of the disease. The objective of the paper is to predict and detect Glaucoma efficiently using image processing and machine learning based classification techniques. Segmentation techniques such as unique template approach, Gray Level Coherence Matrix based feature extraction approach and wavelet transform based approach are used to extract these structure and texture based features. Combination of structure based and texture based techniques along with machine learning techniques improves the efficiency of the system. Developed efficient Computer aided Glaucoma detection system classifies a fundus image as either Normal or Glaucomatous image based on the structural features of the fundus image such as Cup-to-Disc Ratio (CDR), Rim-to-Disc Ratio (RDR), Superior and Inferior neuro-retinal rim thicknesses, Vessel structure based features and Distribution of texture features in the fundus images.
Explaining the adoption of process technologies in Spanish manufacturing firms

This paper investigates the factors affecting the multiple adoption of new process technologies in manufacturing. We focus our attention on the effect of both financial resources and absorptive capacity as conditioners of the decision to introduce the technology. We argue in favour of a negative effect of financial constraints and provide reasons for a differential effect of internal and external R and D on innovation adoption. Additionally, the methodology allows us to consider the possible complementarities arising when firms adopt several new process technologies. Our results show that financial constraints are dependent on the technology analysed, whereas only internal R and D investments are strong predictors of adoption. We are also able to present evidence that the three technologies analysed (CNC, CAD and robotics) are, to some extent, complementary.
Technology in Planning and Participatory Processes: Identifying New Synergies Through Real World Application

This report provides a discussion of findings from a study of application of planning support systems (PSS) to typical participatory processes. For the purposes of this study, we are inclusive in our definition of planning support systems, addressing all types of technology that might be used in the preparation, execution, and analysis of participatory processes and outcomes. The overall intent of the study is to develop an understanding of how to tailor technologies to the unique aspects of various types of participation efforts used in planning practice.The report outlines some important background information related to the use of various types of technologies in participatory processes, including the challenges and opportunities associated with their use. The report also highlights and categorizes a range of current technologies that can be used to supplement or enhance planning and participatory processes. In addition, the report summarizes the findings of a series of five focus groups conducted with planners, engineers, and other practitioners related to the participation process and the application of technology. Finally, the report concludes with a discussion of the findings of survey or practitioners related to their perceptions of constraints and opportunities related to the implementation of technology in planning and participatory processes in their organizations.
Hand-Menu System: A Deviceless Virtual Input Interface For Wearable Computers

Although research on wearable computing is in fashion, few researches pay attentions on interface of wearable computers. This paper presents "Hand-Menu" System", an innovative input interface suitable for wearable computers, utilizing augmented realty techniques. Users can handle wearable computers by clicking a menu activated simply activated with exposed hand with another hand. As Hand-Menu is a "Deviceless" hand I/O interface, Hand-Menu is instant, place-independent and intuitive interface. Additionally, solidity on virtual menu given by tactile feedback from real finger used as a clicking target promotes users' reliability of Hand-Menu.
Video Quality Assessment Based on Short-Term Memory

With the fast development of information and communication technologies, video streaming services and applications are increasing rapidly. However, the network condition is volatile. In order to provide users with better quality of service, it is necessary to develop an accurate and low-complexity model for Quality of Experience (QoE) prediction of time-varying video. Memory effects refer to the psychological influence factor of historical experience, which can be taken into account to improve the accuracy of QoE evaluation. In this paper, we design subjective experiments to explore the impact of Short-Term Memory (STM) on QoE. The experimental results show that the user’s real-time QoE is influenced by the duration of previous viewing experience and the expectations generated by STM. Furthermore, we propose analytical models to determine the relationship between intrinsic video quality, expectation and real-time QoE. The proposed models have better performance for real-time QoE prediction when the video is transmitted in a fluctuate network. The models are capable of providing more accurate guidance for improving the quality of video streaming services
DYNAMIC TRAVEL TIME PREDICTION WITH REAL-TIME AND HISTORICAL DATA

Travel time prediction has been an interesting research for decades within which various prediction models have been developed. This paper discusses and compares the results and accuracy generated by different prediction models with real-time and historical data collected by TRANSCOM through Road Side Terminals (RST), on the New York State Thruway (NYST). All the tagged vehicles equipped with EZ pass are scanned by RST, while vehicle entry times and the associated reader numbers are recorded. The emphasis of this study is focused on modeling the real-time and historical data for travel time prediction. Factors that would affect the prediction results are discussed. The Kalman filtering algorithm is developed for prediction due to its significant property of updating the state variable continuously as new observation is available. The results reveal that the travel times predicted with link-based data are better than that predicted with path-based data during off peak period and vice versa. In addition to the real-time information the study considers the aggregate data of previous time intervals and days as historical seeds for evaluating prediction accuracy
Codes and Ciphers - A History of Cryptography

A fascinating work on the history and development of cryptography, from the Egyptians to WWII. Many of the earliest books, particularly those dating back to the 1900s and before, are now extremely scarce and increasingly expensive. Hesperides Press are republishing these classic works in affordable, high quality, modern editions, using the original text and artwork Contents Include The Beginings of Cryptography From the Middle Ages Onwards Signals, Signs , And Secret Languages Commercial Codes Military Codes and Ciphers Types of Codes and Ciphers Methods of Deciphering Bibliography
Proliferativa histiocytiska sjukdomar hos hund

Proliferativa histiocytiska sjukdomar brukar i litteraturen delas in i foljande undergrupper: reaktiv histiocytos (kutan eller systemisk), histiocytom och histiocytiskt sarkom (lokalt eller disseminerat). Samtliga former karakteriseras av en onormal proliferation av histiocyter. Kutan histiocytos ar en proliferativ sjukdom som drabbar kutan och subkutan vavnad, om fler organ blir involverade kallas sjukdomen for systemisk histiocytos. Histiocytom ar en benign, neoplastisk sjukdom som harror fran intraepiteliala celler, sa kallade Langerhanska celler. Histiocytiskt sarkom ar en malign, neoplastisk sjukdom som kan delas in i tva former; lokalt histiocytiskt sarkom (LHS) och disseminerat histiocytiskt sarkom (DHS). LHS uppstar fran en specifik plats medan DHS ar en multisystemisk sjukdom. Diagnostisering av de olika sjukdomarna baseras pa anamnes, kliniska fynd och hudbiopsier. Hudbiopsierna studeras histologiskt och med hjalp av immunohistokemi. Diagnostisering ar sedan avgorande for vilken typ av behandling som ska vidtas samt vilken prognos som kan ges. Prognosen varierar fran god till valdigt dalig beroende pa vilken form som diagnostiseras.
Silicon photonics : components and integration

Preface. - Silicon wire waveguiding system: Fundamental characteristics and applications. - Polarization issues in silicon waveguide components and their control using cladding stress. - Photonics and electronics integration. - Germanium-on-silicon light emitters. - Grating couplers and polarization diversity in silicon photonics. - Erbium-doped nanocrystalline silicon for light amplification. - Efficient silicon MOSLEDs. - Germanium as a material to enable silicon photonics. - Ultralow power silicon microdisk modulators for on-chip otical interconnects. - Hybrid silicon photonic integrated circuits for optical networking. - Silicon photonics front-end integration in high-speed SiGe BiCMOS
Presurgical language mapping in bilingual children using transcranial magnetic stimulation: illustrative case

BACKGROUND Presurgical mapping of eloquent cortex in young patients undergoing neurosurgery is critical but presents challenges unique to the pediatric population, including motion artifact, noncompliance, and sedation requirements. Furthermore, as bilingualism in children increases, functional mapping of more than one language is becoming increasingly critical. Transcranial magnetic stimulation (TMS), a noninvasive brain stimulation technique, is well suited to evaluate language areas in children since it does not require the patient to remain still during mapping. OBSERVATIONS A 13-year-old bilingual male with glioblastoma multiforme involving the left parietal lobe and deep occipital white matter underwent preoperative language mapping using magnetic resonance imaging-guided TMS. Language-specific cortices were successfully identified in both hemispheres. TMS findings aided in discussing with the family the risks of postsurgical deficits of tumor resection; postoperatively, the patient had intact bilingual speech and was referred for chemotherapy and radiation. LESSONS The authors’ findings add to the evolving case for preoperative dual language mapping in bilingual neurosurgical candidates. The authors illustrate the feasibility and utility of TMS as a noninvasive functional mapping tool in this child. TMS is safe, effective, and can be used for preoperative mapping of language cortex in bilingual children to aid in surgical planning and discussion with families.
A systemic approach of electronic commerce

This chapter applies several concepts from classical Systems Theory to the growing area of E-commerce and agents. The purpose of this chapter is to demonstrate how General Systems Theory principles are widely applicable to the state-of-the art field of Electronic Commerce. The Systems Approach can be used as a framework to model interaction in the electronic marketplace. Software agents play an important role in this system. The chapter describes the characteristics of an intelligent agent and its applications in Electronic Commerce from a systemic perspective.
Consumer Loan Classification Using Artificial Neural Networks

Problems that are difficult to model do not lend themselves to classic algorithmic approaches to their solution. This has fostered the growth of novel techniques that can provide acceptable results based on experience; one such technique uses Artificial Neural Networks (ANNs) that can be “trained” to produce reasonable outputs by presenting them with examples of input data and their corresponding expected outputs. This paper presents the experiments and results obtained by using an ANN to classify the consumer loan and identify potentially risky loans, that is, loans that might not be repaid on schedule. The network was used as a “second level” filter, by supplying it with data of loans that already had been approved by the bank officers. The network optimization technique used is based on the Reactive Tabu Search (RTS), which relies only on the integer arithmetic, does not require computationally expensive derivatives, and is directly executable on the TOTEM neural chip. The combination of TOTEM and RTS is used to train an ANN by presenting 400 loan application cases and their corresponding repayment history. The ANN thus configured is then used for the evaluation of the risk of 600 loans, where the prediction of the ANN is compared with the loan repayment history. The ANN classifies 597 of those loans correctly detecting 35 of them (that the bank had granted) as having problems in their repayment schedule.
Interaktivna interakcijska analiza

Interakcije lahko razumemo kot korelacije, ki obsegajo vec kot le dva atributa. Neka skupina atributov je med seboj v interakciji, ce njihovih medsebojnih povezanosti ne moremo popolnoma razumeti, ne da bi jih vse opazovali hkrati. Interakcije so zakonitosti skupin vec atributov. V tem clanku merimo pomembnost interakcije s postopki, ki temeljijo na Shannonovi entropiji kot pojmu negotovosti, ki je bolj splosen od koncepta statisticne variance. Cilj interakcijske analize je analitiku predstaviti interakcije graficno z vec tipi diagramov. S tem namenom smo izdelali orodja, ki omogocajo interaktivno preucevanje podatkov in nudijo pomoc pri iskanju zanimivih pogledov na podatke. Interakcije prinasajo tudi nov pogled na nekatere težave postopkov strojnega ucenja.
Identification of glibenclamide in antidiabetic jamu by high performace liquid chromatography method: Study in Purwokerto, Indonesia

Adulteration of synthetic pharmaceutical drugs in jamu is prohibited by law in Indonesia. Glibenclamide is one of the drugs commonly added to antidiabetic jamu. The purpose of this study was to obtain a valid high performance liquid chromatography (HPLC) method for qualitative and quantitative analysis of glibenclamide in antidiabetic jamu. HPLC separation was carried out with a Kromasil 100 C18 column (150 x 4.6 mm i.d, 5 μm particle size) using methanol: water (75:25) v/v as the mobile phase at a flow rate of 0.5 mL/min, UV detection was set at 301 nm. There was no potential interference from other compounds at the glibenclamide retention time (retention time of 5.234 ± 0.056 minutes). The method has good linearity (r = 0.9936) in the range 10-50 µg/mL. The detection limit of the method was 6.21 µg/mL while the quantitation limit was 20,71 µg/mL. The relative standard deviation (RSD) of intraday precision was 0.85%. The average recovery using standard addition method was 100.63 ± 13.71%. The application of the HPLC method for the analysis of five antidiabetic jamu samples obtained from the market in Purwokerto showed that glibenclamide was detected in one sample with a level of 1.88 ± 0.25 µg/g.
Modular networks for active e-learning

The distance learning is one of the important fields in which computers and Internet applications are widely used and playing a great role in that trend. Distance education program does not make the learning process related to a specific building or a classroom. It extends the learning process to be available at homes, offices and in any other place in the world. The distances are not frustrating anymore if the virtual classes are used. With the efficient use of advanced technologies, teaching and studying at distances can be effective as the traditional instruction method. Therefore, there is a motivation for developing E-learning system. In this paper, a new approach for evaluating e-learning is presented. Learning is a modular network relation: it is a transaction, an exchange between classweb as one person teaches and another learns; it is a shared experience as colleagues explore a new area together, define terms and create common ground; and it is a common experience as students attend classes and lectures together gaining a similar view of subject areas. A modular network approach provides methods and measures to allow examination of what is exchanged, shared, delivered and received among members of a network, and to examine outcomes such as interpersonal ties, common knowledge, and community. Modular network studies provide insight into what kinds of exchanges comprise learning relationships (e.g., learning how to carry out a procedure, use a new technology, operate within a profession, modification, and adaptation), what balance of learning and production takes place (exposure to new ideas versus completing tasks or assignments), and what balance of classweb and associations within a network make for a good learning combination (e.g., of classweb with whom we are strongly and/or weakly tied). Here, a look at the exciting new kinds of phenomena open to examination by using a modular network approach to e-learning is presented. Modular network approaches inform e-learning by demonstrating and legitimizing the creation of network outcomes without face-to-face structures, outcomes that include collaboration, innovation, shared purpose, and above all, learning - by individuals and groups - in learning communities and communities of practice supported through the supposedly lean communication channels of text-based computer-mediated communication, among participants distributed in time and space.
Control of a macro-micro actuated system

TU Delft Bio-Robotics Lab. developed a new type of robotic arm, called a macro-micro actuated system for the inherent safety characteristics in human-interaction environment. The macro-micro actuated system is equipped with a macro actuator and a micro actuator which works together to control one joint angle. The macro actuator is connected to the link through a low stiffness spring, and the micro actuator is directly connected to the link. This was designed successfully to have the inherent safety of the robot arm. However, there remains the challenge of controlling the manipulator to possess the inherent safety with high-bandwidth performance and robustness, when the robot arm performs pick-and-place work of an unknown mass. In this paper, first, the macro-micro actuated system of the Delft robot arm is introduced. Second, the control challenge to have safety with high-bandwidth performance is discussed along with possible control schemes for their successful implementation. In the chosen control scheme, Balancing/Tracking mode, the macro part is controlled to compensate for gravity and the micro part is controlled to realize the desired trajectory. Third, a feedback linearization method with a sliding mode algorithm and an indirect adaptive algorithm is surveyed to decrease nonlinearities of the system and to have robustness. For a fast estimation of an unknown variable and simplicity of a control algorithm, the sliding mode algorithm is applied to the chosen control scheme with the feedback linearization method. Finally, the Balancing/Tracking scheme with the feedback linearization method and the sliding mode algorithm is proposed as the controller of the macro-micro actuated s ystem.
Making Strategy Work: Leading Effective Execution and Change

Without effective execution, no business strategy can succeed. Unfortunately, most managers know far more about developing strategy than about executing it -- and overcoming the difficult political and organizational obstacles that stand in their way. In this book, leading consultant and Wharton professor Lawrence Hrebiniak offers the first comprehensive, disciplined process model for making strategy work in the real world. Drawing on his unsurpassed experience, Hrebiniak shows why execution is even more important than many senior executives realize, and sheds powerful new light on why businesses fail to deliver on even their most promising strategies. Next, he offers a systematic roadmap for execution that encompasses every key success factor: organizational structure, coordination, information sharing, incentives, controls, change management, culture, and the role of power and influence in your business. Making Strategy Work concludes with a start-to-finish case study showing how to use Hrebeniak's ideas to address one of today's most difficult business execution challenges: ensuring the success of a merger or acquisition.
Perceptual Enhancement of Wavefield Synthesis by Stereophonic Means

The properties of wavefield synthesis with regard to localization and sound color reproduction are analyzed by listening tests and compared with the properties of stereophony. A novel technique, optimized phantom source imaging (OPSI), designed to avoid spatial aliasing, is presented and analyzed in theory and practice. Both stereophonic phantom sources as well as OPSI sources were perceived to be less colored than was predicted by coloration predictors based on the spectral alterations of the ear signals. This leads to the hypothesis that a decoloration process exists for stereophonic reproduction, as proposed in the association model of Theile.
A Framework to Assess Video Quality for Unified Telephony Communications in Enterprise Networks

Nowadays there are many audio-visual solutions involving person to person, multi-party telephony and web conferencing, collectively termed Voice/Video over IP (VVoIP). End users expect the quality of VVoIP to be either better than or at least equivalent to traditional telephony. Thus, it is very important for Enterprises to analyze the performance of their systems onto the network with respect to existing technology. Being a totally IP based service, VVoIP is much more susceptible to network uctuations and end-user application deployment. As an important requirement of end-user quality assurance, this work describes a novel testing framework for assessing and analyzing the call quality of unified telephony in enterprise networks in terms of Quality of Experience (QoE) as perceived by the end user. This framework includes analysis of the system performance under varied network conditions by emulation of network impairments. This framework is suitable for network planning as it formulates the relationship between network and application parameters and objective QoE scores. Packet loss pattern is another issue which plays an important part in video QoE assessment. Video-over-IP packets encapsulate encoded image frames of different type, functionality and size viz. I, P and B frames. Thus, one IP packet dropped could result in losing single or multiple frames having different level of importance and could impact the overall QoE in different ways depending on the particular frame types that were lost. A critical situation for video QoE is when important packets are lost which can deform not only a single frame but consecutive frames as well, reducing QoE from an expected level in the given network conditions and codec implementation. This work additionally presents a study on the impact of loss of specific types of frames on overall video QoE.