Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation and Characterization of Actinobacteria with Antibacterial Activity From Soil and Rhizosphere Soil

In our study, we isolated 33 isolates of Actinobacteria which were identified into 16 different genera based on their cultural, morphological and biochemical characteristics. Both soil and rhizosphere soil samples yielded 17 and 16 isolates, which were grouped into nine and seven different genera, respectively. T his showed that similar number of isolates can be recovered form both soil and rhizosphere samples. Both samples however hosted different genera of Actinobacteria with only one common genus found in both samples, Streptomyces spp. Thirty isolates produced antibacterial activity towards the tested bacterial pathogens (Escherichia coli, Pseudomonas aeruginosa and Staphylococcus aureus). Twenty three of the isolates (10 from soil, 13 from rhizosphere oil) have antibacterial activity towards all three bacterial pathogens, establishing their broad-spectrum of antibacterial activity. Our study has shown that established antibiotic-producing Actinobacteria (Streptomyces, Actinomadura and Streptoverticillium) as well as uncommon antibiotic-producing genera (Dactylosporangium, Actinobispora, Promicromonospora, Saccharomonos pora, Glycomyces, Saccharothrix, Nocardiopsis, Kitasatosporia and Microbispora) can be readily isolated from soil or/and rhizosphere samples and were effective towards the bacterial pathogens. These Actinobacteria isolates can be further investigated to identify the antibacterial compounds produced and their mechanisms of inhibition towards bacterial pathogens.
investigation of cyclin D1 rs9344 g . a polymorphism in colorectal cancer: a meta-analysis involving 13,642 subjects

: The relationship between cyclin D1 ( CCND1 ) rs9344 G . A polymorphism and colorectal cancer (CRC) risk is still ambiguous. To obtain a precise estimation of the relationship, we performed an extensive meta-analysis based on the eligible studies. Crude odds ratios with their 95% confidence intervals were harnessed to determine the strength of correlation between CCND1 rs9344 G . A polymorphism and CRC risk under the allele, the homozygote, the dominant, and the recessive genetic models, respectively (28 studies with 5,784 CRC cases and 7,858 controls). Our results indicated evidence of the association between CCND1 rs9344 G . A polymorphism and the increased risk of CRC in four genetic models: A vs G, AA vs GG, AA + GA vs GG, and AA vs GA + GG. In a stratified analysis by cancer type of CRC, there was an increased risk of sporadic CRC found in three genetic models: A vs G, AA vs GG, and AA + GA vs GG. In a stratified analysis by ethnicity, there was an increased CRC risk found among Asians in allele comparison genetic models, as well as Caucasians in two genetic models: AA + GA vs GG and A vs T. In summary, this meta-analysis demonstrates that CCND1 rs9344 G . A polymorphism may be a risk factor for CRC.
• A WALD TEST FOR OVER DISPERSION IN ZERO-INFLATED POISSON REGRESSION MODEL

W e have considered the regression models to fit the count data especially in the field of Biometrical, Environmental, Social Sciences, and Economical areas. In the field of medical applications the count data with extra zeros are also common. The zero-inflated Poisson (ZIP) regression model is helpful to examine such data. Here we awareness on the use of ZIP model for analysis of count data including maximum likelihood estimation for regression coefficients using Fisher scoring method, compare between Poisson and ZIP models by various tests: likelihood ratio test, score test, chi-square test, test based on a confidence interval test and Cochran test. Model selection using Deviance method, AIC and BIC. We can find a Wald test for ZIP model in a single sample case for detecting zero-inflation in Poisson model and conduct a small simulation study in order to investigate sampling distribution of Wald test and power of Wald test. From our study we found that distribution can be used to detect the zero-inflation in counts.
On Estimation and Prediction for the Inverted Kumaraswamy Distribution Based on General Progressive Censored Samples

In this article, the problem of estimating unknown parameters of the inverted kumaraswamy (IKum) distribution is considered based on general progressive Type-II censored Data. The maximum likelihood (MLE) estimators of the parameters are obtained while the Bayesian estimates are obtained using the squared error loss(SEL) as symmetric loss function. Also we used asymmetric loss functions as the linear-exponential loss (LINEX), generalized entropy (GE) and Al-Bayyati loss function (AL-Bayyati). Lindely's approximation method is used to evaluate the Bayes estimates. We also derived an approximate confidence interval for the parameters of the inverted Kumaraswamy distribution. Two-sample Bayesian prediction intervals are constructed with an illustrative example. Finally, simulation study concerning different sample sizes and different censoring schemes were reported.
38.2: An Accurate and Stable PWM Pixel Circuit Based on LTPO TFTs for AM‐Micro‐LED Display

A pulse-width-modulation (PWM) pixel circuit for Micro-LED displays is proposed based on low-temperature poly-silicon and oxide (LTPO) thin-film transistors (TFTs). The pixel circuit features fast PWM transition, as the PWM falling-time is less than 20 μs thanks to the high-gain dynamic inverter. Furthermore, the proposed pixel circuit can compensate the degradation and non- uniformities of TFT characteristics of LTPO TFTs through auto- zeroing configuration of the dynamic inverter and a diode- connected threshold voltage compensation structure. The error rate of luminous time is less than 3.2% and the error rate of current is less than 1% under VTH shift of oxide TFT ±2 V or LTPS TFT ±1 V.
Targeted treatment of recurrent platinum-resistant ovarian cancer : current and emerging therapies

Correspondence: Gina M Mantia-Smaldone Division of Gynecologic Oncology, Hospital of the University of Pennsylvania, 3rd floor, PCAM, 34th and Spruce Streets, Philadelphia, PA 19104, USA Tel +1 215-662-3327 Fax +1 215-573-5408 email gina.mantia@uphs.upenn. edu Abstract: With advances in surgical techniques and chemotherapeutic agents, mortality rates from epithelial ovarian cancer (EOC) have slightly decreased over the last 30 years. However, EOC still ranks as the most deadly gynecologic cancer with an overall 5-year survival rate of 45%. Prognosis is especially disappointing for women with platinum-resistant disease, where 80% of patients will fail to respond to available therapies. Emerging treatment strategies have subsequently focused on targets which are integral to tumor growth and metastasis. In this review, we will focus on those innovative agents currently under investigation in clinical trials.
The Evaluation of Pheromone Traps Glue Formula for Monitoring of Spodoptera exigua Hubner (Lepidoptera Noctuidae) in Shallot Fields

Spodoptera exigua is considered as one of the most important pests in shallot plant. The objective of the research was to evaluate activity of synthetic pheromone which diluted in glue (glue formulation) for monitoring the Spodoptera exigua moth populations. This research was conducted from November until December 2021 in Tanah Datar, Bukittinggi Regency, West Sumatera. A sex pheromone glue formula was spread on yellow board trap and applied on shallot at 14 days after planting. This research was done using a randomized design, consist of sex pheromone glue formula treatments, with different amount of active components of adhesive glue (in 100 mL) i.e. A (50 µ g), B (100 µ g), C (200 µ g), D (300 µ g), and one trap without sex pheromone as control (E). Each treatment was repeated ﬁve times. The observation was made by counting the number of moths caught in the sex pheromone trap. The results showed that an effective sex pheromone formula to attract male moths was the B formula. The B (100 µ g) formula can catch more male moths higher than that of other formulas and recommended further to utilize for monitoring of S. exigua.
P‐2.12: A Comprehensive Study of Content Generation Using Diffusion Model

The essence of the Metaverse is the process of integrating a large number of existing technologies to virtualize and digitize the real world. With the development of artificial intelligence technology, a large number of digital native content in the Metaverse needs to be completed by artificial intelligence. The current artificial intelligence technology allows computers to automatically and efficiently generate text, pictures, audio, video, and even 3D models. With the further development of natural language processing technology and generative network models, future artificial intelligence generation will subvert the existing content generation methods and gradually become an accelerator for the development of the Metaverse. In this paper, we have analyzed and studied the basic principles of diffusion models, clarified some existing problems of diffusion models, considered the key areas of concern and potential areas to be further explored, and looked forward to the future application of diffusion models in the field of Metaverse.
P‐1.2: Realization of Visible Detection of InGaZnO Thin‐Film Transistors by Coating (PEA)2PbI4 Light Absorbing Layer

In this work, the visible detection of RF‐sputtered InGaZnO (IGZO) thin‐film transistor (TFT) is realized by spin‐coating a light absorption layer of (PEA) 2 PbI 4 on the top of IGZO TFTs. A large number of carriers flow into the IGZO channel after visible light illuminations, resulting in the negative shift of the transfer curves and thus realizing the visible detection. The IGZO/(PEA)2PbI4 bilayer‐based phototransistors exhibit a photoresponsibility of 63.2 A/W and detectivity of 1.13 × 1014 Jones under the illumination of green light (550 nm).
9.2: Mechanism of H2O‐induced Instability of Self‐Aligned Top‐Gate Amorphous InGaZnO TFTs

The influence of H2O on self‐aligned top‐gate (SATG) a‐ InGaZnO thin‐film transistor (TFT) was systematically investigated by performing the high‐temperature high‐humidity (HTHH) test (50 °C, 80% RH). Though initial electrical characteristics were well maintained, the stability under positive bias stress (PBS) was considerably deteriorated, including an abnormal negative Vth shift, degraded SS, and increased off current. The mechanism of H2O‐induced instability was proposed to be the dissociation of H2O molecules and the migration of hydrogen (H) atoms into the a‐IGZO channel. The hydrogen diffusion and doping effects in SATG a‐IGZO TFTs were further proved by SiNx‐passivated TFTs with regulated H content in SiNx layers.
P‐12.12: Development and Application of High Birefringence Liquid Crystal Materials

The development of new liquid crystal optoelectronic devices, including laser phase modulation, microwave and terahertz devices, requires liquid crystal materials with high birefringence. In this paper, three new molecular design strategies are proposed, including the introduction of olefin chain, lateral fluorine substitution and new ring core. Four new series of isothiocyanate liquid crystal compounds with high birefringence, low melting point and wide nematic temperature range were synthesized. Based on these new liquid crystal compounds, a liquid crystal mixture with nematic temperature range of ‐40~146 ºC and birefringence of 0.42 was developed. At 19 GHz, the new liquid crystal mixture shows excellent dielectric properties, with dielectric anisotropy of 1.28 and dielectric loss of 0.0087. The new liquid crystal mixture also has very low viscoelastic coefficient. The results at 1550nm and 60 ºC show that the response speed can reach 3.6 milliseconds with 2π phase modulation in the reflection mode.
UvA-DARE ( Digital Academic Repository ) All Fragments Count in Parser Evaluation

PARSEVAL, the default paradigm for evaluating constituency parsers, calculates parsing success (Precision/Recall) as a function of the number of matching labeled brackets across the test set. Nodes in constituency trees, however, are connected together to reflect important linguistic relations such as predicate-argument and direct-dominance relations between categories. In this paper, we present FREVAL, a generalization of PARSEVAL, where the precision and recall are calculated not only for individual brackets, but also for co-occurring, connected brackets (i.e. fragments). FREVAL fragments precision (FLP) and recall (FLR) interpolate the match across the whole spectrum of fragment sizes ranging from those consisting of individual nodes (labeled brackets) to those consisting of full parse trees. We provide evidence that FREVAL is informative for inspecting relative parser performance by comparing a range of existing parsers.
Conditional Cash Transfers, Schooling and Child Labor : Micro-Simulating Bolsa Escola

A pressurized ventilation system to supplement patient respiration which enables introduction and atomization of prescribed liquids and removal of condensation while maintaining pressurization and functions of the ventilation system and minimizing hazards due to contamination. An atomizer outlet is positioned to enable entrainment of atomized particles of the prescribed liquid into the breathable gas flowing to the patient. A novel arrangement of a valve and conduit provides for contamination-free attachment of a syringe or unit dose vial for the introduction of the prescribed liquid. An enclosure means for trapping condensate and control means for safe removal of condensate from the system are provided. The ventilation system, with the improved arrangement, provides novel functions and can be operated and maintained more conveniently and expeditiously than prior art ventilator system while reducing the risk of infection for both the patient and the attendant.
P‐12.3: Analysis and Application of COF Peeling Failure in Display

In order to solve the problem of COF peeling on OLB (Outer Lead Bonding) side of high curvature display screen, this paper studied the peeling failure strength of COF Bonding so as to guide product design through the combination of experiment and simulation. Firstly, basic peeling test of the COF was carried out under the condition of 60 ℃/90%RH HTHHO, and the COF peeling load was obtained; Then, the linear stress of COF under the peeling load was 0.18 N/mm by finite element numerical simulation; Finally, the COF twist model of 32‐inch R1000 module was established, and the maximum COF twist value was 3mm under the maximum linear stress of 0.18 N/mm at COF Bonding; The module has passed the 60 ℃/90%RH HTHHO 500h test, which verified the accuracy of COF peeling failure judgment method. Considering the safety factor of 2, the linear stress intensity standard of this Bonding process was determined to be about 0.09 N/mm. Based on the above‐mentioned linear stress intensity standard, the 27‐inch curved surface module was optimized from double PCB to single PCB, which passed the verification of high temperature and high humidity condition and met the product quality requirements. The method proposed in this paper can guide module optimization design, reduce the risk of peeling failure at COF Bonding on the source side of curved screen, and improve product reliability.
Winners and Losers in Customs Unions: An Experimental Investigation

We explore a 3 x 3 Competitive Ricardian Model (CRM) in two scenarios multiple import tariffs and a customs union. We fully characterise the equilibrium under both. Starting from a tariff distorted situation, we find that when a customs union is formed there is an increase in trade flows among members; a rise in individual consumption of some goods; a clear terms of trade effect and the existence of trade diversion. Our experimental results support the simulation findings of Venables (2003), who showed that countries which have 'extreme' comparative advantage in a customs union will generally be more vulnerable to trade diversion.
Firm Heterogeneity and the Labour Market Effects of Trade Liberalisation

This paper introduces the idea of fair wage preferences into a general equilibrium model with monopolistic competition between heterogeneous firms. By assuming that the wage considered to be fair by workers depends on the economic success of the firm they are working in, we can study the determinants of profits, unemployment and within-group wage inequality in a unified framework. In a second step, we use our theoretical vehicle to investigate the welfare and labour market effects of globalisation. In particular, we analyse how economic integration changes the productivity distribution of active producers and we show how these changes affect per capita income, unemployment and wage inequality. JEL-Classification: F12, F15, F16
A GENERALIZED NON-LINEAR METHOD FOR DISTORTION CORRECTION AND TOP-DOWN VIEW CONVERSION OF FISH EYE IMAGES

Advanced driver assistance systems (ADAS) have been developed to automate and modify vehicles for safety and better driving experience. Among all computer vision modules in ADAS, 360-degree surround view generation of immediate surroundings of the vehicle is very important, due to application in on-road traffic assistance, parking assistance etc. This paper presents a novel algorithm for fast and computationally efficient transformation of input fisheye images into required top down view. This paper also presents a generalized framework for generating top down view of images captured by cameras with fish-eye lenses mounted on vehicles, irrespective of pitch or tilt angle. The proposed approach comprises of two major steps, viz. correcting the fish-eye lens images to rectilinear images, and generating top-view perspective of the corrected images. The images captured by the fish-eye lens possess barrel distortion, for which a nonlinear and non-iterative method is used. Thereafter, homography is used to obtain top-down view of corrected images. This paper also targets to develop surroundings of the vehicle for wider distortion less field of view and camera perspective independent top down view, with minimum computation cost which is essential due to limited computation power on vehicles.
Predicting fluid adherence in hemodialysis patients via the Illness Perception Questionnaire -Revised

PREDICTING FLUID ADHERENCE IN HEMODIALYSIS PATIENTS VIA THE ILLNESS PERCEPTION QUESTIONNAIRE REVISED by Tava L. Arnold The Illness Perception Questionnaire – Revised (IPQ – R; Moss-Morris, Weinman, Petrie, Horne, Cameron, & Buick, 2002) was utilized in the current research to better understand and predict fluid adherence in hemodialysis patients. A sample of patients was recruited from three hemodialysis centers in the Los Angeles area and 116 participants completed the Illness Perception Questionnaire – Revised. The Illness Perception Questionnaire – Revised (Moss-Morris, Weinman, Petrie, Horne, Cameron, & Buick, 2002), is based on the common sense model (CSM) of self regulation by Leventhal (1984). Fluid adherence was measured by the Interdialytic Weight Gain (IWG). IWG is determined by subtracting the postdialytic weight for the previous session from the predialytic weight for the current session. To obtain a more representative indicator of adherence over time the mean IWG was calculated over a 12 session period (approximately 4 weeks). Patients with a mean IWG weights over 2.5 Kg were considered non-adherent to fluid restrictions. In addition, a self-report demographic information questionnaire was administered. Block logistic regression demonstrated that non adherence to fluid restrictions accounted for 65% of the prediction equation and gender was the only identified variable as being a significant predictor of fluid adherence in this hemodialysis patient population. The results of this study suggested that patient illness perceptions as measured by the Illness Perception Questionnaire did not predict adherence to fluid restrictions. However, in this sample, women were significantly more likely to adhere to fluid restrictions than men. Possible modifications for future research, including a subjective measure of adherence as well as the objective measure are evaluated and discussed. PREDICTING FLUID ADHERENCE IN HEMODIALYSIS PATIENTS VIA THE ILLNESS PERCEPTION QUESTIONNAIRE REVISED by Tava L. Arnold, M.A.
International Students' Psychological and Sociocultural Adaptation in the United States

INTERNATIONAL STUDENTS’ PSYCHOLOGICAL AND SOCIOCULTURAL ADAPTATION IN THE UNITED STATES by Seda Sumer International students constitute an important cohort in the United States (U.S.) colleges and universities. In order for the U.S. colleges and universities to better accommodate the significant number of international students and to recruit them in the future, it is critical to identify factors that influence these students’ acculturation and adjustment processes and provide professionals with guidelines for creating culturally appropriate services and programs for them. Therefore the current study examined international students’ adaptation to the U.S. in relation to their acculturation levels, coping processes, and intent to stay in the U.S. after their graduation. Center for Epidemiologic Studies Depression scale was used as a measure of psychological adaptation. In addition, Sociocultural Adaptation Scale, Acculturation Index, and Ways of Coping Questionnaire, were used to measure sociocultural adaptation, acculturation dimensions, and coping processes, respectively. A total of 204 F1 visa holding international students participated in the current study. This project was a cross-sectional, exploratory study that measured depression and sociocultural adaptation among international students. Cronbach’s alpha for each instrument was calculated to determine the internal reliability for the current sample. Pearson product moment correlational analyses were performed to examine the relations between interval variables. Analysis of variance was utilized to examine gender differences in coping processes. Multiple regression analyses were conducted in order to explore the predictors of international students’ psychological and sociocultural adaptations. Results showed that in females identification with the host culture was associated with lower levels of depression, and Escape-Avoidance was associated with higher levels of depression. Identification with the host culture and Escape-Avoidance were predictors of sociocultural adaptation for both genders. Specifically, students who identified more strongly with the American culture were less likely to experience difficulty functioning in the U.S. In addition, these students were more likely to report higher levels of English proficiency, higher likelihood of staying in the U.S. after graduation, and lower levels of depression. The study identified important gender differences with regards to acculturation dimensions and coping processes. Implications and suggestions for future research were discussed. INTERNATIONAL STUDENTS’ PSYCHOLOGICAL AND SOCIOCULTURAL ADAPTATION IN THE UNITED STATES by Seda Sumer
Improvised Broadcast Algorithm for Wireless Networks

Broadcasting problem is an important issue in the wireless networks, especially in dynamic wireless networks. In dynamic wireless networks the node density and mobility is high, due to several problems which arise during broadcasting. Two major problems faced are namely, Broadcast Storm Problem and Disconnected network problem. In a highly dense network, if information is being flooded in a loop, it could lead to broadcast storm. The broadcast storm may eventually crash the entire network and lead to loss of information. Mobility of the nodes may lead to the problem of Disconnected Network. If the two nodes sending and receiving information are mobile with different speeds, it could lead to a disconnection between them as soon as the receiver moves out of the communication range. In this paper, we are trying to solve both the problems based on our proposed algorithms.