Miracle-dz/UniFAR-FTUs huggingface dataset:
Cosmetic Appeal, HRQoL, and Effectiveness of Simple and Pseudotesticular Techniques of Orchidectomy in Prostate Cancer

Introduction Orchidectomy is the most cost-effective means of hormonal therapy for locally advanced or metastatic prostate cancer (LAMP). However, cost-effectiveness should not detract from health-related quality of life (HRQoL) considerations. Bilateral simple orchidectomy (BSO) has been linked to negative psychometric deficits from an empty scrotum. This study compared the HRQoL, therapeutic efficacy, and cosmetic appeal of BSO with endogenous pseudotesticular techniques of bilateral subcapsular orchidectomy (BSCO) and bilateral-epididymal-sparing orchidectomy (BESO). Research Design. Nigerian patients with LAMP were randomised into three surgical arms: BSO, BSCO, and BESO. Expanded Prostate Cancer Index Composite-26 HRQoL and sociodemographic questionnaires were administered before and three months after orchidectomy. Serum testosterone and PSA were measured at 0, 1, 2, and 3 hours; 7 days; and 3 months postoperatively. Pseudotesticular volumes and cosmetic appeal were assessed at 3 months. Result Sixty-three patients were recruited (24 BSO, 21 BSCO, 18 BESO), 73% of whom were low-income earners. There was no significant difference in the procedure cost nor the PSA or testosterone nadirs achieved over the three-month follow-up period (11.3, 12.6, 15.2 ng/ml (p=0.667) and 0.44, 0.64, 0.79 nmol/l (p=0.603) respectively). Those with pseudotesticles (BSCO, BESO) felt less emasculated (p=0.010). BSCO produced the least sexual bother, highest sexual function, and largest pseudotesticular volumes. The cosmetic appeal scores were similar between groups (77.9 ± 22.8, 81 ± 13.9, and 81.9 ± 22.5, respectively, p=0.858). Conclusion Endogenous pseudotesticular techniques, when compared with BSO, reduce the negative psychological impact experienced by patients without increasing costs. BSCO produced the best pseudotesticular volumes and postoperative sexual function. This study is registered with the ClinicalTrials.gov of the National Institute of Health U.S. National Library of Medicine as TEPSO study, NCT03744494: Comparison of the Therapeutic Efficacy and Patient Satisfaction of Three Techniques of Bilateral Orchidectomy in Prostate Cancer Patients of a Nigerian Sub-population. Registration completed on 16th of November, 2018 (registered retrospectively) NCT03744494.
On-line monitoring system of insulator leakage current based on ARM

A ceramic insulator has an excellent anti-pollution performance, but sometimes flashover occurs on it and then the outage of power network follows. This paper analyzes the formation mechanism of flashover and the result is that the RMS of leakage current(LC) and discharge pulses reflect the contamination severity approximately. This shows that to a large extent the flashover accident can be avoided by means of monitoring the leakage current value and the discharge pulses. Existing monitoring device for contaminated insulators inspects either leakage currents or discharge pulses, also, it is difficult to meet the requirements of the client for low-power consumption, low cost and high reliability. In this paper, a novel low-power and low-cost online monitoring system is presented, which is based on ARM Cortex-M and Zigbee wireless network. In addition, the monitoring system not only acquires the leakage current and discharge pulses of insulator strings, but also measures the environmental temperature and humidity and then comprehensively analyzes the severity of insulator pollution. After that the results will be displayed on the LCD or sent to the control center through the Zigbee network. Tests show that the monitoring system has good accuracy and good practical performance.
Combining atomic force microscopy and live cell imaging to study calcium responses in dorsal root ganglion neurons to a locally applied mechanical stimulus

Medical Faculty Mannheim, University of Heidelberg, TheodorKutzerUfer 13, D68167 Mannheim, Germany Mechanical hypersensitivity in response to nerve injury represents a major clinical problem, and mechanosensitive ion channels play an important role in pain transmission pathways. To understand the mechanism by which dorsal root ganglion (DRG) neurons sense noxious mechanical stress, and how that stimulus initiates intracellular signaling cascades, a first mandatory step is to develop an integrated technology that enables applying controlled mechanical forces and investigating the consequences at the subcellular level. In this paper, we first describe the unique opportunity offered by combined AFM and fluorescence live cell imaging to study mechanically induced calcium responses. We then demonstrate the ability of that approach to detect signal propagation and transduction among isolated porcine DRG neurons.
Diogenes Syndrome: Identification and Distinction from Hoarding Disorder

“Severe domestic squalor” or Diogenes syndrome is characterised by extreme self-neglect of environment, health, and hygiene, excessive hoarding, squalor, social withdrawal, and a distinct lack of concern or shame regarding one's living condition. This report presents a case of a 51-year-old male admitted to the hospital psychiatric ward following the police removing him from his home. Police officers attended the man's home following the alarm being raised by his stepfather that he had not been seen or heard from in 3 weeks. His home was covered in several feet of rubbish, rotting food, and debris and smelled intensely of rotting mould, urine, and faeces. He was found lying nude on top of garbage with a rug over him. Diogenes syndrome is highly comorbid with psychiatric and somatic disorders, including depression, obsessive-compulsive disorder, personality disorder, and stress. This case report provides a rare opportunity to better understand the distinction of Diogenes syndrome from the closely related condition hoarding disorder. Furthermore, creating an agreed-upon constellation of symptoms representative of Diogenes is essential to creating a formal Diagnostic and Statistical Manual of Mental Disorders (DSM) entry, which would facilitate the much-needed development of assessment measures to enable accurate diagnosis and treatment.
Double-cavity fiber structures as all optical timing extraction circuits for gigabit networks

Abstract In this paper we propose the application of double cavity fiber resonators as timing extraction circuits for gigabit networks. Spectral properties of double cavity fiber resonators, including the spectral enhancement achieved by means of the vemier effectare outlined. We investigate their suitability to obtain low cost all-fiber timing extraction circuits in broadband optical networks where single cavity structures previouslyproposed in the literature cannot be efficiently applied.
Cascaded trisection substrate-integrated waveguide filter with high selectivity

A cascaded trisection substrate-integrated waveguide bandpass filter with better frequency selectivity is presented. The proposed coupling scheme can be divided into two trisection topologies. By changing the signs of coupling coefficients between cascaded resonators, two transmission zeros can be simultaneously placed at the higher or lower stopband, or one can be located below and the other above the passband. A filter sample is designed and fabricated with standard single-layer printed circuit board technology. The measured S-parameters agree well with the simulated counterparts, and good performance of the filter is predicted.
Fabric defect detection with an attention mechanism based on hard sample training

In view of the various types of fabric defects, and the problems of confusion, density unevenness and small target defects, which are difficult to detect, this paper builds a deep learning defect detection network incorporating an attention mechanism. The data augmentation strategy is used to enrich the number of samples of each defective type, and the enriched samples were extracted by the feature extraction network integrated with the attention mechanism, which can improve the feature extraction ability of confusable defect types and small defect types. Region proposal generation generates a proposal box for extracted features, and adds an online hard example mining strategy to re-learn hard examples to accelerate network convergence. Region feature aggregation maps the proposal box to the feature map to obtain the region of interest. Finally, the defect features are classified and the bounding boxes are regressed. The results show that this algorithm can effectively detect 39 categories of fabric defects with a detection speed of 0.085 s and a detection accuracy of 0.9338.
CRITERIA OF LOW-NOISE THICK-FILM RESISTORS

Our simple model of the noise of a thick-film resistor leads to two limiting cases. For thick-film resistors with a conduction dominated by the glass interface, the relative noise is proportional to the sheet resistance, R□. For thick film resistors, where the conduction is mainly dominated by the current constrictions in the contact areas between grains, the relative noise is proportional to R□3. Both trends have been observed. Some criteria of low-noise thick-film resistors are derived from the developed noise relations.
Finding Time-Optimal Trajectories for the Resonating Arm using the RRT* Algorithm

At the Delft Biorobotics Lab, a research project is started whereby it is the goal to create robotic arms that have the skills and the design to perform repetitive tasks in a natural dynamic manner. Within this project an energy efficient two degree-of-freedom robotic arm is designed, the so-called Resonating Arm. This thesis focuses on finding the time-optimal movements (around obstacles) for the Resonating Arm. These time-optimal trajectories are found with the RRT* algorithm, a novel asymptotic optimal motion planning algorithm.
BrainShield: A Hybrid Machine Learning-Based Malware Detection Model for Android Devices

Android has become the leading operating system for mobile devices, and the most targeted one by malware. Therefore, many analysis methods have been proposed for detecting Android malware. However, few of them use proper datasets for evaluation. In this paper, we propose BrainShield, a hybrid malware detection model trained on the Omnidroid dataset to reduce attacks on Android devices. The latter is the most diversified dataset in terms of the number of different features, and contains the largest number of samples, 22,000 samples, for model evaluation in the Android malware detection field. BrainShield’s implementation is based on a client/server architecture and consists of three fully connected neural networks: (1) the first is used for static analysis and reaches an accuracy of 92.9% trained on 840 static features; (2) the second is a dynamic neural network that reaches an accuracy of 81.1% trained on 3722 dynamic features; and (3) the third neural network proposed is hybrid, reaching an accuracy of 91.1% trained on 7081 static and dynamic features. Simulation results show that BrainShield is able to improve the accuracy and the precision of well-known malware detection methods.
Wideband and compact quasi-Yagi antenna integrated with balun of microstrip to slotline transitions

A wideband quasi-Yagi antenna utilising a microstrip-to-coplanar stripline balun is presented. The antenna is designed to be compact, directional and wideband so that it can be used to form a circular array for a microwave imaging system. The feeding structure of the antenna includes an ultra-wideband balun that is formed using a pair of microstrip to slotline transitions. The simulated and measured results of the proposed antenna indicate more than 70% fractional bandwidth with more than 10 dB return loss, more than 18 dB front-to-back ratio and around 4 dBi gain.
Use and analysis of exposure monitoring data in occupational epidemiology: an example of an epidemiological study in the Dutch animal food industry.

Abstract No general, theoretical framework exists for exposure monitoring strategies for epidemiological purposes nor for the analysis of these data. It is, however, recognized that the variation in exposure over time and between workers is an important element of consideration in the design of measurement strategies and the analysis of exposure data. In this paper, the partitioning of exposure variability is discussed for two types of monitoring strategies. First, a monitoring strategy is considered in which all members of the study population are monitored on various occasions. In this strategy, the ratio of within and between worker variance gives information about the magnitude of underestimation of the exposure-response relationship. The second strategy discussed is one based on “homogeneous” exposure categories. This strategy is illustrated with a study among animal feed workers in The Netherlands. It is shown that the grouping which results from this strategy can be applied for epidemiological purp.
TAM Application to Chinese Telecom Operators Involved in the E-Government

The study targets on Guizhou telecom operator who provide E-government services in China. This study applies an expanded technology acceptance model (TAM) to explain the telecom operator acceptance by government. Five variables of TAM through telecom operators are considered including system quality, perceived usefulness, and perceived ease of use, trust and intention to use. To demonstrate the applicability of the proposed framework, a case study of evaluating the acceptance of telecom operators by government in Guizhou province of China is conducted. The results show that the proposed framework is effective in assessing the acceptance of telecom operators involved in E-government and the expanding new factor, trust is of vital importance in this model.
Impact of Agricultural Input Supply on Agricultural Growth in Nigeria

Improving the production capacity of agriculture in Nigeria through agricultural input supply is an important policy goal in a country where agriculture represents an important sector in the economy. The agricultural sector provides livelihood to a significant portion of Nigerian population, especially in rural areas, where poverty is more pronounced. Thus, a growing agricultural sector contributes to both overall growth and poverty alleviation. The study specifically examined the effects of agricultural input supply on agricultural growth in Nigeria from 1990 to 2017. The objective of this study is to examine agricultural input supply in Nigeria and its implications on the growth of agricultural growth in Nigeria. The study used time series data covering 1986-2016 obtained from FAOSTAT, World Development Indicator and Central Bank of Nigeria data base. This study utilized Auto-Regressive Distributed Lag (ARDL) approach to investigate the variables. The finding of the study shows that there is co-integration between the variables. The result of the study shows that gross capital formation and Fertilizer supply to agriculture were significant in influencing agricultural growth in Nigeria with coefficient values of (-0.002468), and (0.001506), with Pvalues of (0.0222) and (0.0171) respectively. Given the robust nature of the result, it is evident that agricultural input supply contributes in great measure to agricultural growth in Nigeria. The study then conclude that agricultural input is essential for the growth of agricultural sector in Nigeria and recommend that given the lean resources available to government, attention should be given to the inputs that contributes significantly to the growth of the sector. DOI: https://dx.doi. org/10.4314/jasem.v25i8. 2 Copyright: Copyright © 2021 Opeyemi et al. This is an open access article distributed under the Creative Commons Attribution License (CCL), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Dates: Received: 10 May 2021; Revised: 28 June 2021; Accepted: 01 July 2021
Analytic 3D image reconstruction using all detected events

The authors present the results of testing an algorithm for three-dimensional image reconstruction that uses all gamma-ray coincidence events detected by a PET (positron emission tomography) volume imaging scanner. By using two iterations of an analytic filter-backprojection method, the algorithm is not constrained by the requirement of a spatially invariant detector point spread function, which limits normal analytic techniques. Removing this constraint allows the incorporation of all detected events, regardless of orientation, which improves the statistical quality of the final reconstructed image. >
THE DESCRIPTION OF QILINS AT MASJID GEDHE MATARAM IN KOTAGEDE: AN ART ARCHAEOLOGICAL STUDY

Intercultural interactions, in relation to the study of art archeology, have allowed certain cultural features to appear in other cultural artefacts. The aim of this study was to put forward the reasons behind the appearance of the qilins on the pulpit of the Masjid Gedhe Mataram in Kotagede, along with the depiction techniques and art principles attached to it. The research method used in this study was descriptive qualitative with an art archaeological and iconographical approach. The study indicated that the pulpit was a gift from Sultan of Palembang, demonstrating Chinese influence in this archipelagic nation (Nusantara). The qilins were portrayed using denaturalization or stylized techniques, highlighting the principles of fine art such as unity, balance, rhythm, and proportionality of symbol.
HIV_A_339413 999..1007

1Child and Family Health, Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden; 2School of Public Health, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia; 3KNCV Tuberculosis Foundation, The Hague, Netherlands Background: Adolescents with HIV are faced with challenges when taking care of their medication, which affects their treatment adherence. Therefore, this study aimed to explore the experiences and needs of adolescents living with HIV regarding their antiretroviral therapy adherence and retention in care in southern Ethiopia. Methods: An inductive qualitative study design was applied to explore adolescents’ experiences and needs regarding antiretroviral treatment adherence and retention in care in southern Ethiopia. Eighteen adolescents were selected from five HIV care and treatment facilities by purposive sampling. The interviews followed an interview guide, translated into the participants’ national language. The interviews were transcribed verbatim and the first author developed a coding frame for the analysis by using NVivo software including meaning units and codes, which were discussed by all authors. Then, sub-themes and themes were identified and analyzed by qualitative content analysis. Results: The results were described in two themes: barriers and facilitators for treatment adherence and retention in care. Barriers were described in seven subthemes and facilitators in three subthemes. Forgetting to take medication, hiding information, or non-disclosure of HIV status, being afraid to collect treatment drugs, being in an orphanage, and school activities were described as barriers while support from health care workers, families, personal motivation to cope with medication-related problems were described as facilitators for antiretroviral therapy adherence and retention in care. Conclusion: Adherence is a major challenge among adolescents living with HIV in Ethiopia, with barriers that are unique to this age group and their living conditions. Therefore, interventions should be targeted to address privacy barriers, stigma, and lack of support.
CCID_A_262704 743..750

1Microbiology and Infection Control, Shivam Orthocare, Una, Himachal Pradesh, India; 2Department of Microbiology, Muzaffarnagar Medical College, Muzaffarnagar, Uttar Pradesh, India; 3Research, Muzaffarnagar Medical College, Muzaffarnagar, Uttar Pradesh, India Abstract: Dermatophytes are a group of keratinophilic fungi, which normally cause superficial infection of skin, hair and nails. Based on ecology, they are classified into three groups: anthropophilic, zoophilic and geophilic. Superficial dermatophytic infection of the genital region is called genital dermatophytosis, tinea genitalis or pubo-genital dermatophytosis. In this review, we would like to discuss briefly, the various clinical presentations of genital dermatophytosis, current changes in the taxonomy and nomenclature, introduction of new diagnostic techniques and briefly describe some common dermatophytes and their sources. Also, there are serious concerns associated with the recent development of antifungal resistance among the dermatophytes. We are also facing the scenario of hard-to-treat dermatophytosis.
Sparse Approximation and Compressed Sensing Using the Reed-Muller Sieve

—This paper introduces the Witness-Averaging Algorithm for sparse reconstruction using the Reed Muller sieve. The Reed-Muller sieve is a deterministic measurement matrix for compressed sensing. The columns of this matrix are obtained by exponentiating codewords in the quaternary second order Reed Muller code of length N . For k = ˜ O ( N ) , the Witness-Averaging improves upon prior methods for identifying the support of a k -sparse vector by removing the requirement that the signal entries be independent, and by providing computational efﬁciency. It also enables local detection; that is, the proposed algorithm detects the presence or absence of a signal at any given position in the data domain without explicitly reconstructing the entire signal. Reconstruction is shown to be resilient to noise in both the measurement and data domains; the average-case (cid:96) 2 /(cid:96) 2 error bounds derived in this paper are tighter than the worst-case (cid:96) 2 /(cid:96) 1 bounds arising from random ensembles.
Just-in-time manufacturing: literature review and directions

The purpose of this paper is to review the literature on just-in-time (JIT) and to present a general survey of JIT implementation practices adopted by the manufacturing organisations. The published literature has been deeply analysed and arranged systematically in this paper. This paper examines the evolution of JIT and its implementation in the organisations. Various strategies, elements and important issues of JIT are discussed in detail. This paper also highlights the contribution of JIT towards improving competencies of the organisations. After going through a large number of papers written on the subject, the JIT implementation practices employed by manufacturing organisations all over the world have been extensively reviewed and analysed in this paper. The approaches suggested by various researchers and practitioners have been discussed and the reasons behind failure of JIT programmes in the organisations have been critically evaluated. This paper also discusses the success factors and facilitators of JIT implementation in an organisation. This paper contains a comprehensive listing of publications in the field of JIT implementation and various articles have been classified in accordance with the attributes of JIT.
Quantifying Project Characteristics Related to Uncertainty

Uncertainty is an important but difficult to quantify challenge for project managers. Despite this, some project characteristics associated with uncertainty are quantifiable and can provide project managers with clues to the amount of uncertainty in a project. This article shows how the following project characteristics can be quantified: (1) interdependencies among activities, (2) limited information about activity durations, and (3) unfamiliarity and variety in project work. Data from two example projects are used to demonstrate the calculation and interpretation of the resulting three uncertainty descriptors.