Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of NEO personality domains and facets with presence, onset, and treatment outcomes of major depression in older adults

Objectives— To assess the relationship of multiple domains and facets of the five factor model of personality with presence, onset, and severity of late life depression. Design— Cross-sectional analysis of depression status, and age of onset. Retrospective analysis of baseline severity. Longitudinal analysis of severity after 3 and 12 months of psychiatric treatment. Setting: Private university-affiliated medical center in the Southeastern US. Participants— One hundred twelve psychiatric patients with a current episode of unipolar major depression, and 104 nondepressed comparison subjects, ages 60 years and older (mean = 70, SD = 6). Measurements— Revised NEO Personality Inventory, Diagnostic Interview Schedule, Montgomery-Åsberg Depression Rating Scale. Results— Binary logistic regression found that depression was related to higher neuroticism (and all its facets), and to lower extraversion (and facets of assertiveness, activity, and positive emotionality), and conscientiousness (and facets of competence, order, dutifulness, and self-discipline). Multinomial logistic regression found some of these relationships held only for depression with onset before age 50 (hostility, self-consciousness, extraversion, assertiveness, positive emotions, order, and dutifulness). Linear regression found that personality was unrelated to depression severity at the beginning of treatment, but improvement after 3 months was related to lower neuroticism (and facets depressiveness and stress-vulnerability) and higher warmth and competence. Improvement after 12 months was related to lower neuroticism, depressiveness, and stress-vulnerability. Conclusions— Specific personality facets are related with depression and treatment outcomes. certain personality traits at the start of treatment may help identify patients at risk of worse response to treatment after 3 months.
Interaction between G-coupled Protein Receptor 143 and tyrosinase: Implications for understanding Ocular Albinism Type-1

Developmental eye defects in X-linked Ocular Albinism type I (OA1) are caused by G-Protein Coupled Receptor 143 (GPR143) mutations. Mutations result in dysfunctional melanosome biogenesis and macromelanosome formation in pigment cells, including melanocytes and retinal pigment epithelium. GPR143, primarily expressed in pigment cells, localizes exclusively to endolysosomal and melanosomal membranes unlike most GPCRs, which localize to the plasma membrane. There is some debate regarding GPR143 function and elucidating the role of this receptor may be instrumental for understanding neurogenesis during eye development and for devising therapies for OA1. Many GPCRs require association with other proteins to function. These GPCR-interacting proteins also facilitate fine-tuning of receptor activity and tissue specificity. We therefore investigated potential GPR143 interaction partners, with a focus on the melanogenic enzyme tyrosinase. GPR143 co-immunoprecipitated with tyrosinase, while confocal microscopy demonstrated colocalization of the proteins. Furthermore, tyrosinase localized to the plasma membrane when co-expressed with a GPR143 trafficking mutant. The physical interaction between the proteins was confirmed using Fluorescence Resonance Energy Transfer. This interaction may be required in order for GPR143 to function as a monitor of melanosome maturation. Identifying tyrosinase as a potential GPR143 binding protein opens new avenues for investigating the mechanisms that regulate pigmentation and neurogenesis.
Improving combined solar power forecasts using estimated ramp rates: data‐driven post‐processing approach

Several forecasting models are combined together to mitigate the uncertainty associated with the solar power generation resource and improve the power generation forecasts. The common ensemble approach in wind and solar power forecasting is the blending of meteorological data from several sources. In this study, the present and the past solar power forecasts, as well as the associated meteorological data, are incorporated into an ensemble learning tool. Since forecasts based on numerical weather prediction systems are more valuable in horizons longer than 6 h, the proposed approach includes the simple persistence model of hour-ahead forecasts along with the different models of day-ahead forecasts so that the combined forecasts become hour-ahead solar power forecasts. In addition, the proposed approach combines the ramp rates of the forecasts to enhance the ensemble learning. Furthermore, the approach improves the ensemble learning by using two loss functions – the first function to minimise errors of the forecasts, and the second to minimise errors of the ramp rates of the forecasts. The performance of the combined forecasts is evaluated over the entire year and compared with other techniques.
Adaption of Helicobacter pylori to Chronic Infection and Gastric Disease by pH-Responsive BabA-Mediated Adherence

The BabA adhesin mediates high-affinity binding of Helicobacter pylori to the ABO blood-group antigen-glycosylated gastric mucosa. Here we show that BabA is acid responsive but binding is restored by pH neutralization. Acid responsiveness differs among strains; often correlates with and glr GenBank by GenBank depositions by LMH, JVS. Synthesis of Leb-conjugate by SO. Recombinant CHO cells by JH. Statistical analysis by ASh. and JB supervised YAC. PG. different intragastric regions; changes during chronic infection and disease progression; and depends on pH sensor sequences in BabA and on pH reversible formation of high-affinity binding BabA multimers. We propose that BabA’s extraordinary reversible acid-responsiveness enables tight mucosal bacterial adherence while at the same time allowing an effective escape from epithelial cells and mucus that are shed into the acidic bactericidal lumen and that bio-selection and changes in BabA binding properties through mutations and recombination with babA-related genes are selected by differences among individuals and by changes in gastric acidity over time. These processes generate diverse H. pylori subpopulations, and BabA’s adaptive evolution contributes importantly to H. pylori persistence and to overt gastric disease. Helicobacter pylori bind with high strength to ABO/Leb blood group antigens to persist in the stomach mucosa. Bugaytsova et al. show that its adherence is acid responsive but fully reversible, activated by BabA pH sensors and adapts during chronic infection and disease to allow for functional recycling of infection.
Rapid Publication In Vivo Activity and In Vitro Specificity of CD4+ Thi and Th2 Cells Derived from the Spleens of Diabetic NOD Mice

CD4' T cell lines were generated from the spleens of diabetic NOD mice against crude membrane preparations derived from a rat insulinoma. Adoptive transfer of these lines into neonatal mice confirms that overt diabetes is induced by v-IFN-secreting Thl cells, whereas transfer of IL-4-secreting Th2 cells resulted in a nondestructive peni-islet insulitis. Analysis of the antigens recognized by individual T cell clones from the Thl line included reactivity against an insulinoma membrane fraction enriched in proteins of - 38 kD. Immune responses to the same antigen preparation have been associated with T cell clones derived from human insu-lin-dependent diabetes mellitus. The specificity of Th2 cells includes reactivity to a fraction enriched in proteins of 30 kD. The data suggest that in insulin-dependent diabetes mellitus the balance between fB cell destruction, associated with intra-islet infiltration, and nondestructive (potential protec-tive) peri-islet insulitis may depend on both the antigens recognized, and the prevailing cytokine environment. (J. CliA. Invest 1995. 95:2979-2985.)
Cox-2 is regulated by toll-like receptor-4 (TLR4) signaling and is important for proliferation and apoptosis in response to intestinal mucosal injury

Background— We have recently demonstrated that mice deficient in TLR4 or its adapter molecule MyD88 have increased signs of colitis compared to wild-type (WT) mice following dextran sodium sulfate (DSS)-induced injury. We wished to test the hypothesis that Cox-2 derived PGE 2 is important in TLR4-related mucosal repair. Methods— Cox-2 expression was analyzed by real-time PCR, immunohistochemistry, western blotting, and luciferase reporter constructs. siRNA was used to inhibit expression of MyD88. TLR4 − / − or WT mice were given 2.5% DSS for 7 days. Proliferation and apoptosis were assessed using BrdU staining and TUNEL assays, respectively. PGE 2 was given orally to DSS-treated mice. Results— Intestinal epithelial cell lines upregulated Cox-2 expression in a TLR4- and MyD88-dependent fashion. LPS-mediated stimulation of PGE 2 production was blocked by a selective Cox-2 inhibitor or siRNA against MyD88. Following DSS injury, Cox-2 expression increased only in WT mice. TLR4 − / − mice have significantly reduced proliferation and increased apoptosis following DSS injury compared to WT mice. PGE 2 supplementation of TLR4 − / − mice resulted in improvement in clinical signs of colitis and restoration of proliferation and apoptosis to wild-type values. The mechanism for improved epithelial repair may be through PGE 2 -dependent activation of the epidermal growth factor receptor. Conclusion— We describe an important link between TLR4 signaling and Cox-2 expression in the gut. TLR4 and MyD88 signaling are required for optimal proliferation and protection against apoptosis in the injured intestine. Although TLR4 signaling is beneficial in the short-term, chronic signaling through TLR4 may lower the threshold for colitis-associated cancer. animals have decreased survival. The similarities of our results in a model of intestinal epithelial cell injury suggest a common theme of repair linked to an inflammatory signal.
Automated leak localization performance without detailed demand distribution data

Abstract Automatic leak localization has been suggested to reduce the time and personnel efforts needed to localize (small) leaks. Yet, the available methods require a detailed demand distribution model for successful calibration and good leak localization performance. The main aim of this work was to analyze whether such a detailed demand distribution is needed. Two demand distributions were used: a factorized distribution that distributes the inflow demand proportionally across the consumption nodes according to individual billing data, and a uniform distribution that equally distributes demand across all consumption nodes. The performance of the automatic leak localization method, using both demand distribution models, was compared. A new measure for leak localization performance that is based on the percentage of false positive nodes is proposed. It was possible to localize the leaks with both demand distribution models, although performance varied depending on the timing and duration of the measurement.
Cloning and functional expression of a Drosophila y-aminobutyric acid receptor

A CDNA e im a fI na amnobu-tric (GABA)-activated C1 cannel has been olated fom an adult Droiwphla bead cDNA lbrry. When expresed In Xenopus laevis oocytes, the subunit funcion mefflclendy, pResmably as a h merk complex andis activated by GABA or muuclmol. GABA-evoked currents are hig sensitive to antag-onism by pcrox but are yetive to b ue, RU 5135, or zinc. Pentobarbitone greatly enhan GABA-evoked currents, w e the mnoerold Sa-3a-d-20.oe dem-onstrates a large red In both the potency and m effect when a d with Its actions upon vereA GABA ype A receptors. Aloug zc-insensive, the subunit is also insensiive to unite . Hence, the GABA receptors forned by this subunit exhibit a unique I aa when ared with vertebrate GABA type A reors or these composed of p subunis. Bam the recet e c ex tions as a homoo mer, tis subunit may be of valie in m ns studies aiming to define drug-binding sites. The
ASSOCIATION OF HUMAN LEUKOCYTE ANTIGENS (HLA) WITH NASOPHARYNGEAL CARCINOMA (NPC) IN HIGH-RISK MULTIPLEX FAMILIES IN TAIWAN

Association between specific human leukocyte antigens (HLA) alleles and NPC have been reported for sporadic NPC but studies of familial NPC are lacking. We evaluated this association with familial NPC in a study of 301 NPC cases and 1010 family and community controls from Taiwan. Class I HLA alleles were characterized using a sequence-based typing protocol. Allele frequencies between case and control groups were compared by chi-square or exact tests. For alleles associated with NPC, odds ratios (OR) and 95% confidence intervals (CI) were calculated. Similar allelic frequency distribution and HLA associations were found as those previously reported for sporadic NPC: protective effect for HLA-A*1101 and increased risk for HLA-A*0207, HLA-A*3303, HLA-B*3802, findings from our family study and those from previous sporadic studies were found with the notable exception of a lack of positive association between HLA-B*4601 and familial NPC in the absence of HLA-A*0207. This finding requires replication in larger studies.
NK cell killing of AML and ALL blasts by Killer-Immunoglobulin Receptor (KIR) negative NK cells after NKG2A and LIR-1 blockade Marrow

Although NK cell alloreactivity has been dominated by studies of KIR, we hypothesized that NKG2A and LIR-1, present on 53±13% and 36±18% of normal NK cells, plays a role in NK cell killing of primary leukemia targets. KIR − cells, which comprise nearly half of the circulating NK cell population, exhibited tolerance to primary leukemia targets, suggesting signaling through other inhibitory receptors. Both AML and ALL targets could be rendered susceptible to lysis by fresh resting KIR − NK cells when inhibitory receptor-MHC class I interactions were blocked by pan-HLA antibodies demonstrating that these cells were functionally competent. Blockade of a single inhibitory receptor resulted in slight increases in killing, while combined LIR-1 and NKG2A blockade consistently resulted in increased NK cell cytotoxicity. Dual blockade of NKG2A and LIR-1 led to significant killing of targets by resting KIR − NK cells showing that this population is not hyporesponsive. Together these results suggest that alloreactivity of a significant fraction of KIR − NK cells is determined by NKG2A and LIR-1. Thus strategies to interrupt NKG2A and LIR-1 in combination with anti-KIR blockade hold promise for exploiting NK cell therapy in acute leukemia. KIR2DL1, L2, L3) of targets, not all inhibitory KIR, as KIR3DL1 is not bound(41). However, nearly half of our AML targets were Bw4 negative, supporting the notion that KIR3DL1 interactions could not the lack of response to KIR blockade This finding us to assess the importance of other inhibitory NK cell receptors in recognition and killing of acute leukemia cells. Here we demonstrate that two other families of inhibitory receptors—NKG2A and LIR-1—are present on both KIR + and KIR − NK cells and are implicated in NK cell tolerance against primary AML and ALL blasts. Our findings show that LIR-1 interactions can occur in the absence of HLA-G (high affinity ligand) supporting the observation that LIR-1 recognizes other HLA class I molecules(9,10, This is in contrast to reporting that a “dim” level of LIR-1 expression on primary peripheral blood NK cells is unable to mediate significant inhibitory signals by HLA class I molecules. The KIR − /NKG2A + NK cell population are dominant in NK cells residing in lymphoid tissue, in peripheral blood of some healthy individuals and in most patients after transplantation(15,43,44). All AML and ALL samples tested expressed the NKG2A ligand HLA-E. Our findings show that resting polyclonal KIR − /NKG2A + NK cells populations from donors exhibit potent cytotoxicity against primary blasts in agreement with the NK cell clone work by Yawata et. al. using HLA class I deficient targets Our KIR − NK cell results may be particularly important in patients reconstituting early after T-cell replete transplantation where KIR − NK cells predominate. In a T-cell depleted setting, results may be different. Yu et al have recently shown that tolerance to self may be broken at early time points
Compressive sensing using optimized sensing matrix for face verification

Biometric appears as one of the solutions which is capable in solving problems that occurred in the usage of password in terms of data access, for example there is possibility in forgetting password and hard to recall various different passwords. With biometrics, physical characteristics of a person can be captured and used in the identification process. In this research, facial biometric is used in the verification process to determine whether the user has the authority to access the data or not. Facial biometric is chosen as its low cost implementation and generate quite accurate result for user identification. Face verification system which is adopted in this research is Compressive Sensing (CS) technique, in which aims to reduce dimension size as well as encrypt data in form of facial test image where the image is represented in sparse signals. Encrypted data can be reconstructed using Sparse Coding algorithm. Two types of Sparse Coding namely Orthogonal Matching Pursuit (OMP) and Iteratively Reweighted Least Squares -ℓp (IRLS-ℓp) will be used for comparison face verification system research. Reconstruction results of sparse signals are then used to find Euclidean norm with the sparse signal of user that has been previously saved in system to determine the validity of the facial test image. Results of system accuracy obtained in this research are 99% in IRLS with time response of face verification for 4.917 seconds and 96.33% in OMP with time response of face verification for 0.4046 seconds with non-optimized sensing matrix, while 99% in IRLS with time response of face verification for 13.4791 seconds and 98.33% for OMP with time response of face verification for 3.1571 seconds with optimized sensing matrix.
CO 2 Hypersensitivity in Separation Anxious Offspring of Parents with Panic Disorder

Background— Similar patterns of vulnerability to CO 2 inhalation have been reported in adults with panic disorder (PD) and children with separation anxiety disorder (SAD), suggesting a link between the adult and child conditions. This study examines the influence of familial risk for PD on CO 2 responses in children with SAD. We hypothesized that offspring with SAD of parents with PD would have distinct CO 2 responses. Methods— Two hundred twelve nine-to-20 year-old offspring of parents with or without PD exposed to maintained 5% CO 2 inhalation in the participants' homes. Anxiety symptoms, panic attacks, and respiratory physiology (respiratory frequency and tidal volume) were monitored during baseline and 15 minutes maintained CO 2 breathing. Results— As hypothesized, significant offspring SAD by parent PD interactions were obtained for anxiety symptoms, respiratory frequency, tidal volume, and an panting index during CO 2 inhalation. Offspring with both SAD and parental PD exhibited more anxiety symptoms at termination of 5% CO 2 breathing than the other offspring groups, and had the most extreme values on measures of respiratory physiology. Conclusions— Youth with both SAD and parental PD have respiratory responses to CO 2 similar to adult PD. They may be a subtype of SAD at particularly high risk for adult PD. Acknowledgments and Financial Disclosure: The authors report no biomedical financial interests or potential conflicts of interest.
Operations and Production Management

Learning environment is one of the most crucial elements in educational institutions, since students invest time and efforts to earn education. There could be variation in atmospheric condition from single classrooms to modern open plan learning studios. As the structural design of these learning spaces are different hence it could affect the learning outcomes of students. Ergonomics of institutions are significant field of investigation. This research project is based on Wintec. Wintec is one of the leading institutes in Hamilton, NZ which also known as the Waikato Institute of technology. This research project was focused to identify how well Wintec’s one particular class room environment is performing on a trail period against DQLS (Design quality learning spaces) guidelines New Zealand and ascertain any discrepancies. Data collection is an important part of this research project. In this project, data collection is based on one of the main strategies in quantitative method, which is obtaining relevant data from information system. The data collection method is concerned with analysing the real time data from Wintec information system. This method is highly applicable for analysing the dynamics of evolving relationships of Humidity, Temperature, Carbon Dioxide and Lighting using Power BI software. Power BI is a suite of business analytics tools to analyse data and to exchange ideas. For this research, data has been collected from an electronic sensor, which was installed at Wintec classroom. Power BI has visualized and analysed the data to ascertain whether the four factors were under the ministry of education standards. Also DQLS guidelines for standards have been gathered from Ministry of Education, New Zealand. This project was proposed to check whether the environmental standards are being met in Wintec. This strategic tool and guidelines helped Wintec in undertaking some of the most demanding challenges of weather and environment issues. This ensures that Wintec operations are as efficient as possible, that increase productivity and help students to learn in a better environment.
Evaluation of data centre networks and future directions

Traffic forecasts predict a more than threefold increase in the global datacentre workload in coming years, caused by the increasing adoption of cloud and data-intensive applications. Consequently, there has been an unprecedented need for ultra-high throughput and minimal latency. Currently deployed hierarchical architectures using electronic packet switching technologies are costly and energy-inefficient. Very high capacity switches are required to satisfy the enormous bandwidth requirements of cloud datacentres and this limits the overall network scalability. With the maturity of photonic components, turning to optical switching in data centres is a viable option to accommodate greater bandwidth and network flexibility while potentially minimising the latency, cost and power consumption. Various DCN architectures have been proposed to date and this thesis includes a comparative analysis of such electronic and optical topologies to judge their suitability based on network performance parameters and cost/energy effectiveness, while identifying the challenges faced by recent DCN infrastructures. An analytical Layer 2 switching model is introduced that can alleviate the simulation scalability problem and evaluate the performance of the underlying DCN architecture. This model is also used to judge the variation in traffic arrival/offloading at the intermediate queueing stages and the findings are used to derive closed form expressions for traffic arrival rates and delay. The results from the simulated network demonstrate the impact of buffering and versubscription and reveal the potential bottlenecks and network design tradeoffs. TCP traffic forms the bulk of current DCN workload and so the designed network is further modified to include TCP flows generated from a realistic traffic generator for assessing the impact of Layer 4 congestion control on the DCN performance with standard TCP and datacentre specific TCP protocols (DCTCP). Optical DCN architectures mostly concentrate on core-tier switching. However, substantial energy saving is possible by introducing optics in the edge tiers. Hence, a new approach to optical switching is introduced using Optical ToR switches which can offer better delay performance than commodity switches of similiar size, while having far less power dissipation. An all-optical topology has been further outlined for the efficient implementation of the optical switch meeting the future scalability demands.