Miracle-dz/UniFAR-FTUs huggingface dataset:
Curcumin supplementation shows modulatory influence on functional and morphological features of hippocampus in mice subjected to arsenic trioxide exposure

Since, oxidative stress has been suggested as one of the mechanisms underlying arsenic-induced toxicity, the present study focused on the role of antioxidant (curcumin) supplementation on behavioral, biochemical, and morphological alterations with context to mice hippocampus (CA1) following arsenic trioxide (As2O3) administration. Healthy male Swiss albino mice were divided into control and experimental groups. As2O3 (2 mg/kg bw) alone or along with curcumin (100 mg/kg bw) was administered to experimental groups by oral route for 45 days whereas the control groups received either no treatment or vehicle for curcumin. Animals were subjected to behavioral study towards the end of the experimental period (day 33–45). On day 46, the brain samples were obtained and subjected either to immersion fixation (for morphometric observations) or used afresh for biochemical test. Behavioral tests (open field, elevated plus maze, and Morris water maze) revealed enhanced anxiety levels and impairment of cognitive functions in As2O3 alone treated groups whereas a trend of recovery was evident in mice simultaneously treated with As2O3 and curcumin. Morphological observations showed noticeable reduction in stratum pyramidale thickness (CA1), along with decrease in density and size of pyramidal neurons in As2O3 alone exposed group as compared to As2O3+Cu co-treated group. Hippocampal glutathione levels were found to be downregulated in animals receiving As2O3 as against the levels of controls and curcumin supplemented animals, thereby, suggestive of beneficial role of curcumin on As2O3 induced adverse effects.
Smart Warehouse Management using Hybrid Architecture of Neural Network with Barcode Reader 1D / 2D Vision Technology

—Manually, to manage stocks amounts spending the every day in the rays to count for each product the number which it remains in stores, or to record by a scanner head barcode information dependent of each product. However, the mission become increasingly difficult if several warehouses are found, that involves much time to pass from a product to another, moreover that requires agents to carry out these spots. In this article we use a network architecture neuron combined with the readers bar code of technology vision, this method allows to know in real time information concerning each product in stock. It will allow besides introducing the concept of real stocks rather than physical. However The basic classical use of data and to feed it will be completely changed by the spheres of knowledge which generates the NN (Neural Network) to store information on the quantity at a given time (Dynamic inventory), the entries(delivery of suppliers ) and the outputs ( delivery or sale with the customers and use of manufacturing pieces or repair ).
Frequency of Common Risk factors in Patients with stable Chronic Obstructive Pulmonary Disease

Objective: To determine the frequency of common risk factors in stable COPD patients presented to outpatient department of Pulmonology unit Khyber Teaching Hospital Peshawar. Methodology: This descriptive cross sectional study was conducted at Pulmonology unit, Khyber Teaching Hospital from July 2010 to July 2011 (One Year). Data was collected by Convenience sampling (non probability. A total of 196 patients with stable COPD were included in the study. Demographic data and common risk factors like gender, smoking status, indoor air pollution exposure, occupational exposure and family history, were recorded and analyzed through an objective oriented proforma. Results: Out of 196 patients 80% were males and 20% were females. Mean age was 55.28 (±8.91SD) years. Among them 137 (70%) were smokers and 59(30%) were non-smokers. Among the smokers 36% were current smokers, 24% were ex-smokers and 10% were passive smokers, while 14% of the nonsmokers were exposed to indoor air pollution, 13% were affected by occupational exposure and3%were having positive family history. Conclusion: Cigarette smoking, indoor air pollution and occupational exposure were the common risk factors for the development of COPD where cigarette smoking being the commonest.
両側大脳脚梗塞によると考えられたlocked-in syndromeの1例

我々は両側大脳脚梗塞によると考えられたlocked-in syndromeの67歳, 男性例を報告した. 本症例は四肢麻痺を呈していたが意志伝達は瞬目で可能, 眼球運動で右側注視麻痺を認めた. 垂直方向に制限はなかった. MRIで両側大脳脚と橋傍正中部に腹側から背側に延びる梗塞巣を認めた. 短潜時体性感覚誘発電位 (S-SEP) では左正中神経刺激でP13-P14, N18の振幅低下傾向, 瞬目反射 (BR) では右側刺激でearly reflexを認めるのみだった. 聴性脳幹反応 (ABR) では両側共にI波から不明瞭であった. S-SEPとBRの異常は橋傍正中部の背側病変, ABRの異常は末梢性病変によると考えられた. 本症例の責任病巣として両側大脳脚病変の重要性と過去の両側大脳脚病変によるlocked-in syndromeの特徴につき考察を加え報告した.
Anesthetic Neurotoxicity in Pediatric Patients

In recent years, an increasing number of publications have shown the negative effects of anesthetics on the developing brain and have made inquiries about anesthesia for pediatric patients in practice. Anesthesia is applied to millions of children for surgery, imaging, and other invasive procedures; the issue is very serious and concerns. In this chapter, experimental and clinical studies about the issue have been summarized. As a result, anesthetic drugs except alpha-2 adrenergic agonist anesthetic (NMDA antagonist or a GABA agonist) used in pediatric patients (especially if there is no painful situation) have potential neurotoxicity. Particularly, if anesthesia exposure was applied in the fragile period (the first 4 years) and if used at higher concentrations or repeated anesthesia application, adverse effects of anesthesia exposure on the developing brain have been claimed. But, the issue is not fully clarified yet.
Tongue's substance and coating recognition analysis using HSV color threshold in tongue diagnosis

In ISO TC249 conference, tongue diagnosis has been one of the most active research and their objectifications has become significant with the help of numerous statistical and machine learning algorithm. Color information of substance or tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. In order to produce high reproducibility of color measurement analysis, tongue images have to undergo several procedures such as color correction, segmentation and tongue’s substance-coating separation. This paper presents a novel method to recognize substance and coating from tongue images and eliminate the tongue coating for accurate substance color measurement for diagnosis. By utilizing Hue, Saturation, Value (HSV) color space, new color-brightness threshold parameters have been devised to improve the efficiency of tongue’s substance and coating separation procedures and eliminate shadows. The algorithm offers fast processing time around 0.98 seconds for 60,000 pixels tongue image. The successful tongue’s substance and coating separation rate reported is 90% compared to the labelled data verified by the practitioners. Using 300 tongue images, the substance Lab color measurement with small standard deviation had revealed the effectiveness of this proposed method in computerized tongue diagnosis system.
Code Division Multiple Access Channel Resources Allocation with Applied Token Sub-Queuing for Wireless Multi-Service Packet Switch Traffics

The purpose of this paper is to determine the method of Channel Resources Allocation of wireless Multi-Service Packet Switch CDMA based. As it has been known, CDMA cell has a fluctuated capacity mainly due to its varying co-channel interference. The simulation is performed to shows the characteristic for Multi-Service Packet Switch traffic such combine CBR, VBR, and ABR users is applied on CDMA system. The idea is to deliver the traffics when capacity increase from assigned minimum value, by implementing Proposed Token Sub-Queue and Multi-Service Traffic Channel Resources Algorithm. In the first time, this method is aim for non-real time traffic such ABR traffic, but the simulation shows that it can be applied further to the real-time connection by prioritizing delaying the drop calls of certain agreed QoS values to re-seize into services. The simulation of proposed method shows better CDMA channel or bandwidth utilization, and suppresses drop call probability for real-time traffic.
Large Uncertainties in Runoff Estimations of GLDAS Versions 2.0 and 2.1 in China

Gauge observed runoff can reflect influences of both natural hydrological cycle and human intervention. The Global Land Data Assimilation System (GLDAS) 2.0 and 2.1 provide abundant runoff which are useful for water resources assessment in ungauged/poorly gauged regions. However, GLDAS2.0 and GLDAS2.1 runoff have only been validated and inter‐compared in very limited regions. In this study, they are evaluated and inter‐compared utilizing gauge observation in 11 large river basins in China. Results show their runoff have large uncertainties: absolute values of relative bias (|RB|) being above 39% and Nash‐Sutcliffe efficiency lower than 0.15 on average, but GLDAS2.1 is better. Both of them have large uncertainty in the Tibetan Plateau:|RB|are higher than 40%. The gap between GLDAS runoff and observations could attribute to both GLDAS system uncertainty and the fact that GLDAS does not consider human intervention. Therefore, cautions should be taken when using them in coupled human‐natural systems.
Fleet optimization considering overcapacity and load sharing restrictions using genetic algorithms and ant colony optimization

Abstract This paper presents a fleet model explained through a complex configuration of load sharing that considers overcapacity and is based on a life cycle cost (LCC) approach for cost-related decision-making. By analyzing the variables needed to optimize the fleet size, which must be evaluated in combination with the event space method (ESM), the solution to this problem would normally require high computing performance and long computing times. Considering this, the combined use of an integer genetic algorithm (GA) and the ant colony optimization (ACO) method was proposed in order to determine the optimal solution. In order to analyze and highlight the added value of this proposal, several empirical simulations were performed. The results showed the potential strengths of the proposal related to its flexibility and capacity in solving large problems with a near optimal solution for large fleet size and potential real-world applications. Even larger problems can be solved this way than by using the complete enumeration approach and a non-family fleet approach. Thus, this allows for a more real solution to fleet design that also considers overcapacity, availability, and an LCC approach. The simulations showed that the model can be solved in much less time compared with the base model and allows for the resolution of a fleet of at least 64 trucks using GA and 130 using ACO, respectively. Thus, the proposed framework can solve real-world problems, such as the fleet design of mining companies, by offering a more realistic approach.
Characterizing and controlling the loading of Vipera albicornuta venom in chitosan nanoparticles as an adjuvant and vaccine delivery system

The aim of this study was designing and preparing the chitosan nanoparticles (CS-NPs) loading with snake (Vipera albicornuta) venom as well as evaluating the influence of different factors on the encapsulation efficiency (EE) and loading capacity (LC) of venom. The morphologies and characteristics of CS-NPs were determined by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), respectively. CS-NPs were fabricated based on the ionic gelation method of Tripolyphosphate (TPP) and Chitosan (CS). The results showed smooth surface, spherical shape by SEM. The particle size of loaded nanoparticle was 187 nm and zeta potential was found to be 46.7 mV. Optimum concentration obtained 400 µg/ml for loading of venom, which leads to LC 86% and EE 94%. The structure study of particles demonstrated bond between venom and CS. Based on the results of the study, It can be concluded that the vipera albicornuta venom loaded CS-NPs may be used as a new antigen delivery system.
Design and Characterization of a D-Band SiGe HBT Front-End for Dicke Radiometers

This paper reports the design and characterization of a D-band front-end receiver, implemented in a 0.13-<inline-formula> <tex-math notation="LaTeX">${\mu {m}}$ </tex-math></inline-formula> SiGe BiCMOS technology, for use in a direct-detection-based Dicke radiometer architecture. The peak responsivity of the Dicke radiometer is 688 MV/W at 130 GHz, and its minimum value is about 82.6 MV/W at 170 GHz. The Dicke switching frequency is 10 kHz. The noise equivalent power of the Dicke radiometer remains below <inline-formula> <tex-math notation="LaTeX">$20\textit {fW/H}{z}^{\text {1/2}}$ </tex-math></inline-formula> at the frequency range of 110–155 GHz, and its minimum value is about <inline-formula> <tex-math notation="LaTeX">$9.3~\textit {fW/H}{z}^{\text {1/2}}$ </tex-math></inline-formula> at 130 GHz. The implemented radiometer achieves an NETD of 0.13K for a back-end integration time of 30ms. Its total chip area is approximately 1.7mm<sup>2</sup>, and the overall quiescent DC power consumption is 33.8 mW. To the authors’ best knowledge, the implemented Dicke radiometer achieves the best NETD in the literature.
The role of physical education and exercise for children with Autism Spectrum Disorder and the effects on socialization, communication, behavior, fitness, and quality of life

Autisms spectrum disorder (ASD) is often characterized by motor debilities and inabilities. Studies also show that children with ASD exhibit reduced skills and difficulty in increasing physical fitness compared to children of the typical population, during physical activity, with multiple health effects. On their health sports and exercise are useful as they reduce these motor inabilities, increase physical fitness, reduce the time of sedentary life, and provide a form of socialization to the child which also helps in other areas. However, international literature has yielded limited but useful results, exercises and sports activities require further exploration for children with ASD as it is observed that family, educators, and other experts find difficulties in adapting physical activity so that it achieves positive effects in areas such as communication, socialization, behavior, and fitness required for the daily activities of children, with the aim of improving quality of life. The purpose of the research was to review the international and domestic literature in order to find out about the efficacy and physical education of children with ASD. Also, the gathering of information on the characteristics of this population as well as controlling the impact of physical education and exercise in the fields of socialization, behavior, communication, fitness, and quality of life. We used specific databases with a lot of encouraging findings in all areas to investigate our cases. Specifically, all of the domains tested were in accordance with research data from low to moderate positive effects following children’s participation in exercise programs in the areas of socialization, behavior, communication, fitness, and quality of life. However, the limited literature and the gaps in the various surveys lead us to conclude that further research is needed in order to have a comprehensive picture of the above situation.
Bulgarian Adaptation of the Long Form of the Eating Attitudes Test for Adolescents Aged 14-18

The study aimed to make an adaptation of the long form of the Eating attitudes test for the Bulgarian population of adolescents between 14 and 18 years of age. This includes examination of the scale structure of the adaptation, the reliability of the scales and their predictive potential to identify individuals with eating disorders. The participants were 441 secondary school students from 8th to 12th grade. The factor structure of the data was examined using hierarchical factor analysis, reliability was investigated by analysing the internal consistency of the items and the threshold values were selected by ROC curve analysis. A hierarchical threefactor model of the data was accepted. In the reliability study, the scales and the overall test showed good internal consistency, with alpha coefficients 0.83, 0.79, 0.72 and 0.86 respectively. With the exception of the third scale, they proved to be good predictors, which, through the selected threshold values, showed satisfactory diagnostic accuracy. The Bulgarian version of the EAT-40 is a reliable tool for assessing the relevant symptoms and psycho physiological features of adolescents with eating disorders. It can also be successfully used to discriminate diseased from normal cases in non-clinical samples.
High selectivity quarter‐wavelength resonator bandpass filter utilizing source‐load coupling

This paper presents a compact, narrowband, high‐selectivity, two‐pole mixed‐coupled quarter‐wavelength (λ/4) resonator filter utilizing source‐load (S/L) coupling. The mixed coupling between resonators is modeled by the separated J and K inverters in the form of parallel‐coupled transmission lines and coupled metallic vias, respectively. Capacitive dominant mixed coupling along with the coupling path phases are used to create a lower stopband transmission zero (TZ). In addition, the upper stopband selectivity is enhanced by employing parallel S/L coupling in the form of J inverter which produces three TZs above the passband. Source‐load coupling is modeled by parallel‐coupled tapped feed lines, which also provide the necessary electrical length ratios (L r), for the positioning of TZs. For verification, a prototype filter is designed, fabricated and measured at fo = 2.75 GHz (center frequency). The measured filter response gives fo = 2.755 GHz, fractional bandwidth equal to 3.6% and an insertion loss of 2.1 dB at fo. Additionally, the four stopband TZs are produced at 2.47, 3.19, 4.18, and 5.98 GHz. The measured group delay in passband is less than or equal to 3.6 ns. Overall a good agreement between measured and simulated results is observed, which validates the proposed synthesis technique.
Extracting Building Areas from Photogrammetric DSM and DOM by Automatically Selecting Training Samples from Historical DLG Data

This paper presents an automatic building extraction method which utilizes a photogrammetric digital surface model (DSM) and digital orthophoto map (DOM) with the help of historical digital line graphic (DLG) data. To reduce the need for manual labeling, the initial labels were automatically obtained from historical DLGs. Nonetheless, a proportion of these labels are incorrect due to changes (e.g., new constructions, demolished buildings). To select clean samples, an iterative method using random forest (RF) classifier was proposed in order to remove some possible incorrect labels. To get effective features, deep features extracted from normalized DSM (nDSM) and DOM using the pre-trained fully convolutional networks (FCN) were combined. To control the computation cost and alleviate the burden of redundancy, the principal component analysis (PCA) algorithm was applied to reduce the feature dimensions. Three data sets in two areas were employed with evaluation in two aspects. In these data sets, three DLGs with 15%, 65%, and 25% of noise were applied. The results demonstrate the proposed method could effectively select clean samples, and maintain acceptable quality of extracted results in both pixel-based and object-based evaluations.
A Comprehensive Survey of Genomic Mutations in Breast Cancer Reveals Recurrent Neoantigens as Potential Therapeutic Targets

Neoantigens are newly formed antigens generated by cancer cells but absent in normal cells. With their high specificity and immunogenicity characteristic, neoantigens are considered as an ideal target for immunotherapy. This study was aimed to investigate the signature of neoantigens in breast cancer. Somatic mutations, including SNVs and indels, were obtained from cBioPortal of 5991 breast cancer patients. For neoantigen prediction, 738 non-silent somatic variants present in at least 3 patients were selected. , PIK3CA (38%), the highly mutated gene in breast cancer, can produce the highest number of neoantigens per gene. Some pan-cancer hotspot mutations, such as PIK3CA E545K (6.93%), can be recognized by at least one HLA molecule. Since there are more SNVs than indels in breast cancer, SNVs are the major source of neoantigens. Patients with hormone receptor positive or HER2 positive are more competent to produce neoantigens. Age, but not clinical stage, is a significant contributory factor of neoantigens production. We believe a detailed description of breast cancer neoantigens signatures could contribute to neoantigens based immunotherapy development.
Consumers’ Acceptance of Internet of Things Technology

Gunumuzde son teknolojik ilerlemeler muazzam degisimleri beraberinde getirmekte ve yeni bir doneme kilavuzluk etmektedir. Bu yeni donemin temel degisim araclarindan biri Nesnelerin Interneti teknolojisidir. “Nesnelerin Interneti” terimi ile nesnelerin kimliklere sahip olmasi ve birbirleriyle her an her yerde baglantida bulunmasi ifade edilmektedir. Soz konusu kavram cok yeni olmasina ragmen pek cok bilim insani ve uygulamacinin ilgisini cekmektedir. Ancak konunun tuketici perspektifinden incelendigi cok sayida calismaya rastlanmamistir. Potansiyel kullanicilar kendilerine yeni bir teknoloji sunuldugunda bir kabul surecinden gecerler. Bu calismada tuketicilerin Nesnelerin Interneti kavramina bakis acilari Teknoloji Kabul Modeli (TKM) uzerinden irdelenmistir. TKM, algilanan kullanim kolayligi ve algilanan kullanislilik etkenlerini, kullanicilarin yeni teknolojileri kullanmada davranissal niyetlerinin onemli belirleyicileri olarak tanimlamaktadir. Veriler, Yapisal Esitlik Modellemesi (YEM) ile analiz edilmistir.
ACSES - eine deutschsprachige allgemeine Core Self-Evaluations-Skala

Core Self-Evaluations (CSE) ist ein aus Neurotizismus/emotionaler Stabilitat, generalisierter Selbstwirksamkeitserwartung, Selbstwertgefuhl und internaler Kontrolluberzeugung zusammengesetztes Konstrukt. Es hat sich bisher vor allem in arbeitspsychologischen Zusammenhangen bewahrt. Ziel ist es, mit der allgemeinen Core Self-Evaluations-Skala (ACSES) eine modifizierte Fassung der G-CSES (Heilmann & Jonas, 2010) zu schaffen, die CSE auch in anderen Kontexten messbar macht, und sie empirisch zu uberprufen. Mit Daten von 239 Studierenden werden Itemanalysen durchgefuhrt, die Faktorenstruktur gepruft sowie anhand von Teilstichproben die Beziehungen zu Drittvariablen ermittelt. Die ACSES weist eine hohe interne Konsistenz (α = .82) und die erwartete einfaktorielle Struktur auf. Es zeigen sich signifikante Zusammenhange zu Gewissenhaftigkeit (r = .33), Extraversion (r = .42), Beanspruchung (r = -.40; jeweils N = 81) und Leistungsmotivation (Furcht vor Misserfolg: r = -.49; Hoffnung auf Erfolg: r = .28; N = 170), die den bereits nachgewiesenen Bezie-hungen der Originalskala ahneln. Damit kann die ACSES als geeignete bereichs-ubergreifende Skala zur Messung von CSE angesehen werden.