Disrupted working memory circuitry and psychotic symptoms in 22q11.2 deletion syndrome.

22q11.2 deletion syndrome (22q11DS) is a recurrent genetic mutation that is highly penetrant for psychosis. Behavioral research suggests that 22q11DS patients exhibit a characteristic neurocognitive phenotype that includes differential impairment in spatial working memory (WM). Notably, spatial WM has also been proposed as an endophenotype for idiopathic psychotic disorder, yet little is known about the neurobiological substrates of WM in 22q11DS. In order to investigate the neural systems engaged during spatial WM in 22q11DS patients, we collected functional magnetic resonance imaging (fMRI) data while 41 participants (16 22q11DS patients, 25 demographically matched controls) performed a spatial capacity WM task that included manipulations of delay length and load level. Relative to controls, 22q11DS patients showed reduced neural activation during task performance in the intraparietal sulcus (IPS) and superior frontal sulcus (SFS). In addition, the typical increases in neural activity within spatial WM-relevant regions with greater memory load were not observed in 22q11DS. We further investigated whether neural dysfunction during WM was associated with behavioral WM performance, assessed via the University of Maryland letter-number sequencing (LNS) task, and positive psychotic symptoms, assessed via the Structured Interview for Prodromal Syndromes (SIPS), in 22q11DS patients. WM load activity within IPS and SFS was positively correlated with LNS task performance; moreover, WM load activity within IPS was inversely correlated with the severity of unusual thought content and delusional ideas, indicating that decreased recruitment of working memory-associated neural circuitry is associated with more severe positive symptoms. These results suggest that 22q11DS patients show reduced neural recruitment of brain regions critical for spatial WM function, which may be related to characteristic behavioral manifestations of the disorder

Skin Temperature Distribution over Human Head Due to Handheld Mobile Phone Call using Thermal Imaging Camera

The possible biological hazards due to the mobile phone electromagnetic (EM) field exposure are caused mainly by a temperature rise in tissue. Hence, the calculation of temperature in tissue may be more realistic than the calculation of specific absorption rate (SAR) due to the more direct relationship between temperature and safety. The heat transfer to human tissue due to a phone call is caused by a combined effect of conductive heat transfer caused by the basic non-microwave-related activity of the mobile phone and the absorption of the microwave. This paper investigates the role of heat transfer in living tissue due to thermal conduction. This is achieved using a thermal imaging camera to measure and map the skin temperature distribution over human head due to mobile phone EM emission. Two commercial mobile phone brands, that is, Apple iPhone 7 Plus and Huawei P20 Pro, are used at 1800 MHz cellular connection and approximate radiated power of 0.125 W to measure the skin temperature over human head at both, cheek and tilt position for 6 and 30 min calls. The results show that in spite of the direct proportion between the deposited SAR and temperature increase in human tissues, the heat transfer due to thermal conduction may not directly proportional to the SAR, where other factors may play important roles, for example, mobile phone chassis material, heated battery, antenna location inside the mobile phone, and mobile phone position in close proximity to head

Parametric Analysis of Fabricated Supercapacitors from Raw Clay

Energy-storage devices have been the subject of many research studies in both experimental and theoretical schemes. Recent interests have been developed in the fabrication and technological application of supercapacitors.Throughout a designed procedure and methodology. A number of supercapacitor has been fabricated by using simple methods, with high capability. therefore , the made the supercapacitor from available material   in natural  and easy obtain of that, and this material is raw clay with separation between the electrodes LDPE is used  in shopping as the carries bag of treatment it. Of fabricated supercapasitor have capacity 3.5F of discharge time 1500s at voltage 50 mV of specific power 24w/Kg of energy 145J

Experimental Evidence of Chaotic Resonance in Semiconductor Laser

تم في هذا البحث تقديم دراسة تجريبية بشأن إشارة الرنين في ليزر أشباه الموصلات الشواشي. تعتبر اضطرابات الرنين فعالة في تسخير مؤشرات التذبذب غير الخطية لتطبيقات مختلفة مثل إحداث الشواش والسيطرة على الشواش. تم الحصول على نتائج مثيرة للاهتمام فيما يتعلق بتأثير الرنين الشواشي عن طريق إضافة التردد على الأنظمة. يغير التردد القسري النظام الديناميكي غير الخطي من خلال قيمة حرجة ، وهناك انتقال من جاذب دوري إلى جاذب غريب. كما ان السعة لها تأثير وثيق الصلة للغاية بالنظام ، مما أدى إلى استجابة الرنين الأمثل للقيم المناسبة المتعلقة بزمن الارتباط. فيصبح النظام الشواشي منتظمًا تحت ترددات أو سعات معتدلة. كما تم تحليل هذه الديناميكيات لمخرجات الليزر من خلال السلاسل الزمنية واطياف القدرة المستخرجة (FFT) وقد تعززت بواسطة مخطط التشعب.In this paper, an experimental study has been conducted regarding the indication of resonance in chaotic semiconductor laser.  Resonant perturbations are effective for harnessing nonlinear oscillators for various applications such as inducing chaos and controlling chaos. Interesting results have been obtained regarding to the effect of the   chaotic resonance by adding the frequency on the systems. The frequency changes nonlinear dynamical system through a critical value, there is a transition from a periodic attractor to a strange attractor. The amplitude has a very relevant impact on the system, resulting in an optimal resonance response for appropriate values related to correlation time. The chaotic system becomes regular under a moderate frequencies or amplitudes. These dynamics of the laser output are analyzed by time series, FFT and bifurcation diagram as a result

Investigation in Gas-Oil Two-Phase Flow using a Differential Pressure Transducer and Wire Mesh Sensor in Vertical Pipes

The current study is performed to identify the flow regimes of oil-gas two-phase flow experimentally in a vertical pipe has an internal diameter of 6.7 cm. It also aims to provide more details about the possibility of using Differential Pressure Transducers (DPT) for indicating flow patterns. A flow development of oil and gas has been investigated in a vertical pipe of 6 m in length and operated at atmospheric pressure. A series of experiments have been run to cover a range of inlet oil superficial velocities from 0.262 to 0.419 m/s, and inlet gas superficial velocities from 0.05 to 4.7 m/s. Wire Mesh Sensors (WMS) have been used to collect the obtained void fraction values of the flow. The Differential Pressure Transducer (DPT) is utilized to measure the pressure drop values of a one-meter along the pipe. The flow patterns are classified according to the analysis of void fractions, pressure gradients regarding time series, tomographic images, probability density functions of the void fractions, and pressure gradients. A bubbly flow is observed at low superficial velocities of gas and liquid, slug flow is observed at the lower flow rate of liquid and moderate flow rates of gas, while the churn flow pattern is recognized at the higher rates of liquid and gas. Also, the result has revealed the possibility of using Differential Pressure Transducers (DPT) to classify the gas-oil flow patterns in vertical pipes

EVALUATION OF CHLORIDE FORM AS A PARTIAL SOURCE FOR POTASSIUM FERTIGATION OF BANANA PLANTS GROWN ON A SANDY SOIL

A field experiment was carried out in sandy soil to elucidate the possibility of using chloride form as a partial source for potassium in fertiga-tion of banana plants grown on a sandy soil. Growth, fruit yield and quality as well as plant nutritional status and Cl accumulation within both plant leaves and rhizosphere beside an economical elucidation were taken in to consideration to ac-complish such evaluation. Eleven gradual increas-ing KCl: KNO3 (0:100 - 100:0) ratios were applied with maintaining the concentration of all macro and micro nutrients except Cl constant. Obtained data indicated that increasing Cl existence didn’t adversely affect plant growth under this experi-ment. Treatments of 10:90 followed by 50:50 as well as 70:30 followed by 80:20 and either 90:10 or 10:90 (KCl:KNO3) were most stimulating treatments for increasing pseudo stem diameter and leaves number, respectively. Although total fruit yield bunch as well as number and length of fingers are less sensitive to increasing KCl:KNO3 ratio, number of hands/bunch and diameters of fingers were significantly and positively affected by increasing KCl existence. Treatment of 80:20 KCl:KNO3 was the most significant superior one for all measured fruit yield parameters. Although Cl content increased significantly in banana leaves and root surrounding area with increasing Cl ex-istence in the fertigation solutions, recorded con-tents seemed to be in safe ranges whereas no chlo-ride necroses symptoms were appeared at banana leaves. Contents of N, P and K as well as Cl in plant leaves were significantly, although in fluctu-ating manner, affected by increasing chloride oc-currence in fertigation solution. The encountered response of N, P and K contents seemed to be not only a resultant of increasing Cl occurrence in the root media but also as a reflection to changing the N form (NH4 and urea) compensating N-NO3 de-cline in the fertigation solutions having high Cl concentrations. The relatively high supplements of Cl (80:20 followed by 70:30 KCl: KNO3) recorded the highest economical net return. It could be con-cluded that KCl can be perfectly used in fertigat-ing banana plants grown on sandy soils. To in-crease safety of using chloride under such condi-tions, more work could be suggested particularly what concerns with calculating irrigation and leaching water requirements to prevent chloride accumulation in the root zone

Применение глубокого обучения для прогнозирования цен на криптовалюты и их взаимосвязь с адекватностью рынка (прикладное исследование на примере биткоина)

redicting currency rates is important, for everyone who is trading and trying to build an investment portfolio from a range of crypto currencies. It is not subject to the same restrictions as fiat currencies. In this study, we seek to predict the exchange rate of BIT-COIN against the US dollar. The short-term data (365 observations) is processed using the LSTM model as one of the neural network models. Modeling is conducted by training a sample size of 67%, taking into account sharp fluctuations in the price of trade and a certain level of market efficiency. The GARCH model is used to select appropriate historical periods for how the LSTM model works and to test proficiency at the weak, semi-strong, and strong levels. The data series obtained from the website (Investing.com) have been processed. The researchers have found that the performance of the neural network improves as the EPOCH value increases with a training (research) period of 50 days before, which is consistent with the results of the proficiency test at the weak level. It agrees with the results of the sufficiency test at the weak level, which indicates that in the case under study (the Bitcoin market is effective at the weak level). It is advised that crypto-currency investors rely more on the historical trend of the price of the currency than on its current price, taking advantage of the artificial neural network model (LSTM) in dealing with little data of high volatility.Прогнозирование курсов валют важно для всех, кто занимается трейдингом и пытается построить инвестиционный портфель из ряда криптовалют. На них не распространяются те же ограничения, что и на фиатные валюты. Цель исследования — спрогнозировать курс BITCOIN по отношению к доллару США. Краткосрочные данные (365 наблюдений) обработаны с помощью модели LSTM как одной из нейросетевых моделей. Моделирование проведено путем обучения выборки объемом 67% с учетом резких колебаний цены торгов и определенного уровня эффективности рынка. Модель GARCH использована для выбора подходящих исторических периодов для определения того, как работает модель LSTM, и для проверки эффективности на слабом, полусильном и сильном уровнях. Обработаны ряды данных, полученных с веб-сайта (Investing.com). Авторы обнаружили, что производительность нейронной сети улучшается по мере увеличения значения EPOCH при периоде обучения (исследования) в 50 дней, что согласуется с результатами проверки мастерства на слабом уровне. Это согласуется с результатами теста на достаточность на слабом уровне, что свидетельствует о том, что в исследуемом случае рынок биткоина эффективен на слабом уровне. Сделан вывод, что криптовалютным инвесторам лучше больше полагаться на исторический тренд цены валюты, чем на ее текущую цену, используя преимущества модели искусственной нейронной сети (LSTM) при работе с небольшими данными высокой волатильности

Acetylcholine Esterase Gene Expression in Salivary Glands of Albino Rats after Treatment with amitriptyline or/and Ashwagandha

Acetylcholinesterase is required as an enzyme to counteract the effects of acetylcholine. The aim of the study is to assess how amitriptyline and Ashwagandha affect the acetylcholinesterase gene in rat salivary glands. Forty healthy albino rats were divided randomly into four equal groups: Group I (control) received distilled water for 30 days. Group II received amitriptyline (10mg/kg) for 30 days. Group III received ashwagandha watery root extract (200mg/kg) orally for 30 days and Group IV received the combination of amitriptyline orally and ashwagandha root extract orally for 30 days. Rats in each group were sacrificed after day 30 and salivary glands were dissected for measurement of the acetylcholinesterase gene using a Polymerase Chain Reaction technique (PCR). Acetylcholinesterase gene measurements reveal an increase in groups treated with amitriptyline alone (1.55±0.11) and in the group treated with a combination of amitriptyline with Ashwagandha (1.92±0.16), in comparison with the control group. There were no discernible differences between the Ashwagandha treated group (1.073± 0.25) compared to the control group (0.76±0.19).In conclusion, Amitriptyline alone and, when combined with Ashwagandha cause transcription of the acetylcholinesterase gene

MOLECULAR CHARACTERIZATION OF SOME SEEDED TYPE DATE PALM TREES IN EGYPT

In the present study, molecular fingerprinting among selected ten seeded type date palm trees growing at Al Dakhlah Oasis, New Valley Governorate in Egypt was carried out, in this approach 10 RAPD and 10 ISSR primers were used. In RAPD markers, primers 1, 3, 4, and 6 showed the highest level of polymorphism with number of polymorphic amplicons of 100%. While primers 7 and 8 resulted in the lowest number of polymorphic bands with polymorphism level of 62% and 63%, respectively. The similarity between Acsad-Dakhla 6 and 7 (0.76%) was observed as maximum similarity. While, Acsad-Dakhla 5 exhibited a minimum degree of similarity with all the seeded type date palm trees ranging from 33% to 49%. According to ISSR, highest polymorphism was generated by primers 8 and 9 (100%). While primers 4 and 2 produced the lowest polymorphism 50% and 55.6%, respectively. The highest similarity was observed between Acsad-Dakhla 8 and Acsad- Dakhla 9. Acsad-Dakhla 5 and Acsad-Dakhla 7 showed close relationship but Acsad-Dakhla 10 was at distant from all the seeded type date palm trees and did not lie in any subcluster. In combined analysis, the similarity between Acsad-Dakhla 6 and 7 were similar to Acsad-Dakhla 9 and 10 showed maximum similarity (85%). While, Acsad- Dakhla 2 and 5 exhibited a minimum degree of similarity with all the seeded type date palm trees (47%). A high genetic diversity among selected ten seeded type date palm trees was present

Prediction of dust storms in construction projects using intelligent artificial neural network technology

Sandstorms (dust storms) are considered the most events which cause destructive and costly damages in lots of desert regions. These sandstorms may be a reason of huge disasters (damages) on Environmental as well as Health aspects. The aim of this paper is to develop a mathematical model for predicting the Dust Storm in Republic of Iraq using Artificial Neural Network (ANN) technique. As a case study, four construction projects in Iraqi cities were selected (Baghdad, Basrah, Samawa, and Nasiriya) in order to identifying and prediction of the sandstorms, which significantly help to reduce the effects of damages. Only one ANN model was built to predict a dust storm. The datas of this model cited from Iraqi Meteorological Organization and Seismology. Four factors were adapted to develop the model (Max. Temperature, Min. Temperature, Rain and Wind), It was found that ANN has the ability to predict the dust storm with a high accuracys off the correlation coefficient (R) which is 90.00%, with a percentage of average accuracy is 89%