Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Repetitive Transcranial Magnetic Stimulation on Cognitive Function in Patients With Stress-Related Depression: A Randomized Double-Blind fMRI and 1H-MRS Study

Objectives To reveal the effects of repetitive transcranial magnetic stimulation (rTMS) on the improvement of cognitive function in patients with stress-related depression, and to enrich the neural mechanism(s) underlying rTMS so as to improve cognitive function in patients with stress-related depression. Methods We conducted a randomized, double-blind, placebo-controlled study of rTMS in patients with stress-related depression who were 18–40 years of age. Patients were randomly allocated to either a sham or experimental group in a 1:1 ratio. A 10-session rTMS protocol was used with 10-Hz stimulation over the left dorsolateral prefrontal cortex (DLPFC). Clinical assessments (HAMD, HAMA, DASS, MoCA), neuropsychologic (Stroop, WCST), and resting state fMRI and 1H-MRS assessments were executed at two time points—baseline and after the 10th rTMS session. Results rTMS relieved the mental symptoms of patients in both groups. The MoCA score of patients in the experimental group increased; the number of correct answers increased significantly in Stroop testing, and the number of errors and omissions decreased significantly; the number of persistent errors decreased significantly; and the time used to complete the test decreased to an even greater extent in the WCST experimental group. The ReHo value in the lingual gyrus of the right hemisphere and the cuneus of the left and right hemispheres in the experimental group decreased after treatment. The DC value in the left and right hemispheric cuneus and postcentral gyrus of the left hemisphere in the experimental group diminished after treatment. The functional connections of these brain regions also changed as the Cho and NAA/Cr of the left DLPFC changed, with alterations related to the improvement in cognitive function. The level of choline (Cho) in the left DLPFC of the experimental group was significantly lower than that of the control group, and the level of N-acetylaspartate/creatine (NAA/Cr) in the left DLPFC of the control group was significantly higher than that of the experimental group. These changes were related to the overall improvement in cognitive function. Conclusions Ten-Hz rTMS over the left DLPFC improved the cognitive function of patients with stress-related depression. The governing mechanism for this phenomenon may be via rTMS effects on multiple visual-related brain regions and their functional connections, and on the somatosensory cortex and its functional connection with visual and auditory cortex, reducing the level of Cho and stabilizing the level of NAA/Cr in the left DLPFC.
Pre-diagnosis Dietary One-Carbon Metabolism Micronutrients Consumption and Ovarian Cancer Survival: A Prospective Cohort Study

Background and Aims Epidemiological evidence on the relation between one-carbon metabolism (OCM) micronutrients intake and ovarian cancer (OC) survival are limited and conflicting. We evaluated the aforementioned associations in a prospective cohort-the Ovarian Cancer Follow-Up Study. Methods A total of 635 newly diagnosed OC patients aged 18–79 y were enrolled in the present study. Dietary intake related to one-carbon metabolism, including methionine, vitamins B2, B3, B6, B9, B12, choline, and betaine, was assessed using a validated 111-item food frequency questionnaire. Deaths were ascertained until March 31, 2021, via medical records and active follow-up. Cox proportional hazards regression model was used to evaluate the hazard ratios (HRs) and 95% confidence intervals (CIs) for these aforementioned associations. Results During a median follow-up of 37.2 months (interquartile: 24.7–50.2 months), 114 deaths were identified. We observed an improved survival with the highest compared with the lowest tertile of dietary vitamin B6 (HR = 0.52, 95%CI: 0.32–0.84, P-trend <0.05) and choline intake (HR = 0.50, 95%CI: 0.30–0.83, P-trend <0.05). No significant associations with OC survival were observed for dietary vitamins B2, B3, B9, B12, methionine, and betaine intake. We also observed a curvilinear association between vitamin B6 intake and OC survival (P non-linear <0.05). Conclusion Our study suggests that pre-diagnosis higher intake of vitamin B6 and choline may improve OC survival. Further clarification of these associations is warranted.
The Impact of COVID-19 Pandemic on Corporate Social Responsibility and Job Embeddedness in China

This article aims to investigate the impact of employee perceptions of corporate social responsibility (CSR) on job embeddedness under the drastic circumstances of coronavirus disease 2019 (COVID-19). This study also investigated the role of organizational identification as a psychological mechanism linking employee perceptions of corporate social responsibility (CSR) to job embeddedness. Survey data were collected from 325 employees in banking industry of China and analyzed using partial least squares structural equation modeling (PLS-SEM). Results revealed that CSR to employees and organizational identification were positively and significantly related to job embeddedness, while CSR to customers, CSR to government, and CSR to society did not significantly predict job embeddedness. Organizational identification fully mediated the relationship between CSR to customers, CSR to government, CSR to society and job embeddedness, and partially mediated the relationship between CSR to employees and job embeddedness. The results suggest engaging in CSR activities can lead employees to identify themselves with the organization and enhance their embeddedness. The article concludes with several implications for practice and recommendations for future research.
The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years

Magnetic resonance imaging data are being used in statistical models to predicted brain ageing (PBA) and as biomarkers for neurodegenerative diseases such as Alzheimer’s Disease. Despite their increasing application, the genetic and environmental etiology of global PBA indices is unknown. Likewise, the degree to which genetic influences in PBA are longitudinally stable and how PBA changes over time are also unknown. We analyzed data from 734 men from the Vietnam Era Twin Study of Aging with repeated MRI assessments between the ages 51–72 years. Biometrical genetic analyses “twin models” revealed significant and highly correlated estimates of additive genetic heritability ranging from 59 to 75%. Multivariate longitudinal modeling revealed that covariation between PBA at different timepoints could be explained by a single latent factor with 73% heritability. Our results suggest that genetic influences on PBA are detectable in midlife or earlier, are longitudinally very stable, and are largely explained by common genetic influences.
Association Between Dietary Inflammatory Index and Sex Hormone Binding Globulin and Sex Hormone in U.S. Adult Females

Context It is still unknown whether the dietary inflammatory index (DII) is associated with sex hormones and sex hormone binding globulin (SHBG) in adult women. Objective This study examined the association between DII and sex hormones and SHBG in U.S. adult women. Design and Participants This was a cross-sectional study. A total of 2,092 female participants (age ≥ 20) from the 2013–2016 National Health and Nutrition Examination Survey were enrolled. Dietary inflammatory potential was assessed by DII based on 24-h dietary recall. SHBG was assessed using immuno-antibodies and chemo-luminescence, whereas sex hormones were measured by ID-LC–MS/MS. Results The average DII was 0.21 ± 1.68, ranging from −4.54 (most anti-inflammatory) to 4.28 (most pro-inflammatory). After adjusting all covariates, a per-unit DII increase in DII tertile 3 was related to an 8.05 nmol/L SHBG decrease compared to DII tertile 1 (P = 0.0366). Subgroup analysis stratified by perimenopausal period found that this negative association remained strong but only existed in women before (β = −3.71, 95% CI: −7.43, −0.12, P = 0.0423) the perimenopausal period. Interaction terms were added to both subgroup analyses and found no significant heterogeneity among different body mass index (BMI) or perimenopausal groups (P > 0.05). Treshold analyses showed that the association of age with SHBG was an inverted U-shaped curve (inflection point: age = 50 yrs). Conclusion A proinflammatory diet caused decreased SHBG. However, more well-designed studies are still needed to validate and verify the causal relationship between DII and sex hormones and SHBG.
Security techniques for sensor systems and the Internet of Things

Midi, Daniele PhD, Purdue University, December 2016. Security Techniques for Sensor Systems and the Internet of Things. Major Professor: Elisa Bertino. Sensor systems are becoming pervasive in many domains, and are recently being generalized by the Internet of Things (IoT). This wide deployment, however, presents significant security issues. We develop security techniques for sensor systems and IoT, addressing all security management phases. Prior to deployment, the nodes need to be hardened. We develop nesCheck, a novel approach that combines static analysis and dynamic checking to efficiently enforce memory safety on TinyOS applications. As security guarantees come at a cost, determining which resources to protect becomes important. Our solution, OptAll, leverages game-theoretic techniques to determine the optimal allocation of security resources in IoT networks, taking into account fixed and variable costs, criticality of different portions of the network, and risk metrics related to a specified security goal. Monitoring IoT devices and sensors during operation is necessary to detect incidents. We design Kalis, a knowledge-driven intrusion detection technique for IoT that does not target a single protocol or application, and adapts the detection strategy to the network features. As the scale of IoT makes the devices good targets for botnets, we design Heimdall, a whitelist-based anomaly detection technique for detecting and protecting against IoT-based denial of service attacks. Once our monitoring tools detect an attack, determining its actual cause is crucial to an effective reaction. We design a fine-grained analysis tool for sensor networks that leverages resident packet parameters to determine whether a packet loss attack is nodeor link-related and, in the second case, locate the attack source. Moreover,
In vivo conservation of animal genetic resources

These guidelines present the basic concepts involved in the development and implementation of in vivo conservation plans for animal genetic resources for food and agriculture. The guidelines are intended for use by policy-makers in the management of animal genetic resources, managers of animal breeding organizations, persons responsible for training in management of animal genetic resources and any other stakeholders with leading roles in designing and implementing in vivo conservation programmes for animal genetic resources. Although individual breeders and livestock keepers are not the direct target audience, the guidelines include background information that is relevant for all stakeholders involved in planning conservation programmes.
Vibration fault detection and classifaction based on the fft and fuzzy logic

Vibration fault exhibit a multifaceted and nonlinear behavior generation in rotated machines, for example in a steam turbine (ST). Vibration fault (VF) is collectedin the form of acceleration, velocity, and displacement via the vibration sensor. This fault damages the turbines if it strays into the danger zone. This paper first models the VF in a time domain to transfer the frequency domain via an FFT technique. The signals were applied to the fuzzy system to be used by the VF for classification via sugeno and mamdani Fuzzy Inference System (FIS) to generate the signal that will reflect the VF in the event it is embedded into the protection system. The Membership Function (MF) sets depends on practical work in a power plant, and the ISO is interested in ST vibration zones. The outcomes of the sugeno fuzzy property is the generation of stable and usable signals that can be used within the protection system, mostly owing to its efficiency in detecting vibrational faults. The results from this work can be utilized to prevent VF from generating on ST via increased processing that will feed signals for ST controls.
Learning analytics of MOOCs based on natural language processing

The perspectives of application of machine learning, especially, decision trees, random forest and deep learning for educational data mining problem solving, and learning analytics tools development are considered in the paper. The abilities of sentiment analysis with BERT deep model, clustering based on kMeans with the different approaches to the text vectorization are investigated for the development of learning analytics tools on the example of the learning analytics of some programming MOOCs from Udemy. We analyze 300 titles of MOOCs and proposed their clustering for better understanding the directions of learning and skills, and 1150 sentences that contain the word “teacher” or its synonyms and 2365 sentences about the course for sentiments detection of students and top of words that describe opinions with positive and negative polarities and the issues during learning.
Internet of Things Utilization in Marketing for Competitive Internet of Things Utilization in Marketing for Competitive Advantage: An Organizational Capability Perspective Advantage: An Organizational Capability Perspective

Innovative developments in the Internet of Things (IoT) have invoked tremendous attention from both academics and industries. Studies suggest that IoT not only serves as an innovative tool for enterprise operations but also triggers impacts on business performance. As researchers increasingly raise interest about IoT and its applications in marketing and competitive strategy, this study examines its direct and indirect managerial effects by investigating the link between IoT, marketing, and competitive strategy performance. From the organizational capability perspective, this study constructed a research framework in which marketing intelligence capability mediates the effect of IoT capability on business strategy performance. This research conducted an empirical survey and analyzed the data to test the hypotheses in the research framework. The results confirmed the partial mediating effect of marketing intelligence capability in the link between IoT capability and business strategy performance. The paper then discussed the test results and elaborated on the managerial implications
IPO characteristics of index firms

I analyze the IPOs of the ﬁrms that are eventually included in one of the S&P 400, the S&P 500, or the S&P 600 Indices. The determinants of each IPO ﬁrm’s odds of inclusion into an index are estimated. Other oﬀer-related characteristics of these index ﬁrms are also investigated. IPOs associated with less uncertainty at the time of issuance have better inclusion odds into an index. The quality of index ﬁrms has a persistent component to it that can be detected even during the IPO process. I propose two new hypotheses related to inclusion into an S&P index.
High-Level Synthesis of Datacenter Services

High-Level Synthesis of Datacenter Services Justin Tai Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2017 Field programmable gate arrays have become of great interest for implementing datacenter applications due to high performance gains over traditional compute hardware at a fraction of the energy consumption. In parallel, more hardware designers are adopting high-level synthesis for its rapid development process. It stands to reason that high-level synthesis tools will be widely used to build datacenter applications in the near future. In this work, we propose that entire datacenter services be implemented using only field-programmable gate arrays and present a case for this. We propose and provide prototype support for an enhancement to a production high-level synthesis tool, Vivado HLS, which allows users easily to build distributed systems strictly in hardware. Finally, we demonstrate operation of our feature by implementing a simplified version of web search using our enhancement.
Defensive Approach using Blockchain Technology against Distributed Denial of Service attacks

To maintain our network’s security and fight cybercrime, we must stay up to date with the latest technological initiatives. Nowadays, DDoS (Distributed Denial of Service) attacks include monetization and other risks and improvements in BGP (basic global protocol) routing have helped to combat these attacks. It is essential that we take all possible measures to maintain a safe space for online activities.The purpose of this work is to develop a botnet prevention system that leverages the advantages of Software Defined Networking (SDN) along with the Blockchain. Here, we develop a mechanism to detect and mitigate botnets using blockchain and SDN. The results and performance shows that the proposed approach works efficiently.
-Induced Murine Lupus Nephritis Yaa Zealand Black-Derived Loci Linked with Differential Role of Three Major New

By assessing the development of Y-linked autoimmune acceleration ( Yaa ) gene-induced systemic lupus erythematosus in C57BL/6 (B6) (cid:1) (New Zealand Black (NZB) (cid:1) B6. Yaa )F 1 backcross male mice, we mapped three major susceptibility loci derived from the NZB strain. These three quantitative trait loci (QTL) on NZB chromosomes 1, 7, and 13 differentially regulated three different autoimmune traits: anti-nuclear autoantibody production, gp70-anti-gp70 immune complex (gp70 IC) formation, and glomerulonephritis. Contributions to the disease traits were further conﬁrmed by generating and analyzing three different B6. Yaa congenic mice, each carrying one individual NZB QTL. The chromosome 1 locus that overlapped with the previously identiﬁed Nba2 ( NZB autoimmunity 2 ) locus regulated all three traits. A newly identiﬁed chromosome 7 locus, designated Nba5 , selectively promoted anti-gp70 autoantibody production, hence the formation of gp70 IC and glomerulonephritis. B6. Yaa mice bearing the NZB chromosome 13 locus displayed increased serum gp70 production, but not gp70 IC formation and glomerulonephritis. This locus, called Sgp3 ( serum gp70 production 3 ), selectively regulated the production of serum gp70, thereby contributing to the formation of nephritogenic gp70 IC and glomerulonephritis, in combination with Nba2 and Nba5 in NZB mice. Among these three loci, a major role of Nba2 analysis revealed in B6 mice of an H2 -linked QTL, which regulated autoantibody production. had no apparent individual effect, but most likely modulated disease severity through interaction with NZB-derived susceptibility loci. The Journal of Immunology, 2005, 174: 1111–1117.
Measuring Bias with Wasserstein Distance

In fair classiﬁcation, we often ask:"what does it mean to be fair, and how is fairness measured? " Previous approaches to deﬁning and enforcing fairness rely on a set of statistical fairness deﬁnitions, with each deﬁnition providing its own unique measurement of bias. In this work, we provide preliminary results showing that the Wasserstein distance can provide a more comprehensive fairness measurement than existing methods, and can also measure fairness with respect to a broad class of fairness notions that can encapsulate the already existing fairness deﬁnitions.
Analysis of Wave Energy Behavior and Its Underlying Reasons in the Gulf of Mexico Based on Computer Animation and Energy Events Concept

: The complexity and variability of ocean waves make wave energy harvesting very challenging. Previous research has indicated that wave energy was mainly generated and transferred by wind, but the detailed correlation between wind and wave energy has not been discovered. Wave energy in the Gulf of Mexico (GoM) has high variability with distinct seasonal behavior. However, the underlying reasons for this unique behavior have not been discussed and discovered yet. In this paper, a computer animation-based dynamic visualization method was created to conduct exploratory and explanatory analyses of 36 years of meteorological data in the GoM from the WaveWatch III system to identify preliminary patterns and underlying reasons for the unique behavior of wave energy in the GoM. These preliminary patterns and underlying reasons were further analyzed using Energy Events and Breaks concepts. During both high and low levels wave energy periods, the detailed correlation between wave energy and the wind was analyzed and determined. High level wave power in the GoM was mainly generated by the local inland wind from northern weather patterns, while low level wave power was mainly generated by swells from the Caribbean and the Atlantic oceans, which entered the GoM through the two narrow pathways, the Straits of Yucatan and the Florida Straits. The results from this paper will also be able to help the design, placement, and operation of future wave energy converters to improve their efﬁciency in harvesting wave energy in the GoM. energy. However, the wave energy that reached the south portion of the GoM has the highest levels, which is the major reason causing this area to have the largest variability due to less frequent but very powerful wave energy appearance. Figure 6 shows one of these observations in January 1985 as an example to explain the wave energy behavior in January 1985. When the thresholds of wind EEs increase to 14 m/s and 15 m/s (as shown in Figure 15), the proﬁle curves increase their skewness to the right, which indicates the required duration and corresponding dispersion were reduced. For high thresholds wave EEs, the skewness increasing to the right indicates a better-deﬁned behavior and a reduced average power transfer time from wind to wave. The results provided by these analyses are important to help WEC design by providing insight into the evaluation of the frequency and characteristics of wave EEs. Regions with more frequent energetic waves would require resilient WECs capable of energy extraction under those conditions. On the other hand, areas with reduced wave strength and frequency would be suitable for more sensitive and less resilient WECs, which in turn are less expensive. Therefore, the characteristics of the wave resource (wave EEs and Breaks) should drive the design characteristics and operation parameters of the WECs. Understanding how energy is transferred from wind to wave in the GoM will aid in the development of criteria required for the proper design and operation of WECs.
practices for comparing optimization algorithms

Summary: Comparing, or benchmarking, of optimization algorithms is a complicated task that involves many subtle considerations to yield a fair and unbiased evaluation. In this paper, we systematically review the benchmarking process of optimization algorithms, and discuss the challenges of fair comparison. We provide suggestions for each step of the comparison process and highlight the pitfalls to avoid when evaluating the performance of optimization algorithms. We also discuss various methods of reporting the benchmarking results. Finally, some suggestions for future research are presented to improve the current benchmarking process