Miracle-dz/UniFAR-FTUs huggingface dataset:
Model Construction for Undergraduate Student College Adjustment

Background: College students are known to struggle with a number of difficulties, such as their future careers and interpersonal relationships, as well as job-seeking stress. This study aimed to develop and test a structural model for undergraduate student college adjustment. Methods: The data collection period ranged from November 2019 to January 2020. A questionnaire was distributed to a total of 300 college students; a total of 290 copies were ultimately used for analysis. Result: The model fit indexes of the final model were χ2 = 427.707 (p < 0.001), DF = 173, χ2/DF = 2.47, GFI = 0.88, Adjusted Goodness of Fit Index (AGFI) = 0.84, Comparative Fit Index (CFI) = 0.91, Incremental Fit Index (IFI) = 0.92, Standardized Root Mean-square Residual (SRMR) = 0.07, and Root Mean-Square Error of Approximation (RMSEA) = 0.07. All of the model fit indexes were acceptable, and seven of the thirteen paths in the final model were significant. The factors that influenced college adjustment were social support (r = 0.39) and ego-identity (β = 0.73), explaining 57.1% of the variance. Conclusions: To increase college adjustment, it is necessary to consider the relationship of adjustment with college students’ surrounding environments, such as their family, friends, and professors, and how students can improve their ego-identity.
Utilization of Soybean Meal for Red Sea Bream Diet

A 42-day feeding trial was carried out for young red sea bream, Pagrus major, having a mean body weight of 14 g, to evaluate the utilization of diets containg 0-40% a commercially available soy bean meal (SBM) as a partial substitute for fish meal in practical diets. No remarkable differences were detected between growth and feed efficiency of fish fed on diets containing 0-25% SBM. Though those on diet with 40 % SBM were lower than other dietary groups. These results suggested that red sea bream can utilize SBM effectively and a maximum dietary SBM levels for getting good growth performances comparable to those on the BFM diet was about 25%. 海産養殖魚 の配合飼料 には,こ れ まで北洋魚粉 や沿 岸魚粉 が主に利用 されて きたが,各 国の経済水域 の設 定お よび近年 におけるマイワシ資源量 の急激 な減少 に 伴 って魚粉価格が高騰 している。 そのため,飼 料の価 格 も上昇 し,漁 家経営 を圧迫 して いる1)。 この ように, 魚粉 の製造量 とその価格 は,原 料魚の漁獲量 によって 大 きく変動す ることか ら,安 価で供給量が安定 した タ ンパ ク源 の検索が望 まれて きた。 魚粉 に替わ るタンパ ク源 として,こ れ まで脱脂 大豆(SBM),全 脂 大豆, 綿実油粕,ピ ーナ ッツ ミール,サ フラワー ミールな ど 種々の植物性 タンパ ク質が検討 され,ア ミノ酸組成 と タンパ ク質含量か らSBMが 注 目されている2-5)。 われわれは,海 産魚用配合飼料 の代 替 タンパク源 に 関す る研 究の一環 として,ハ マチ飼料 に対す る濃縮脱 脂大豆6)お よびSBM7)の 利用 につ いて検討 し,沿 岸魚 粉 の30%程 度 を代 替 して も,沿 岸魚粉 主体 の飼料 と 比較 して遜色の ない飼育成績が得 られた。 本研究 では, ハマチ に続 いてマ ダイ,Pagrus majorの 飼料 に対 する 脱脂大豆 ミールの利用 について検討 した。
Genetic variants , plasma lipoprotein ( a ) levels , and risk of cardiovascular morbidity and mortality among two prospective cohorts of type 2 diabetes

CLINICAL RESEARCH Prevention and epidemiology
EVALUATION OF ANTI-OXIDANT POTENCY OF SMALLER CHAIN PEPTIDES USING DPPH FREE RADICAL SCAVENGING ASSAY AND PHOSPHOMOLYBDENUM METHOD

Diphenyl-2-picryl-hydrazyl (DPPH) assay and Phosphomolybdenum Method assay are in-vitro assay, employed to determine the antioxidant potency of test compound 1, 2, 3 and 4 (Arg-lys. (RK), Lys-Hist. (KH), Arg-Arg-Hist. (RRH) and Arg-Arg-Hist. (RRK)) using ascorbic acid as the standard drug. The percentage scavenging and total antioxidant capacity of different concentrations of the test drugs were determined and IC50 values of the test compound were subsequently compared with that of standard, ascorbic acid. Among the compound tested in both the methods , test drug-1 (RK) has shown maximum potency with an IC50 value of 4.2 µg/ml and 4.1 µg/ml; whereas test drug-2 (KH) have 7.4 µg/ml and 6.3 µg/ml, test drug-3 (RRH) have 4.1 µg/ml and 8.4 µg/ml and test drug-4 (RRK) have 6.0 µg/ml and 8.2 µg/ml and all have shown almost comparatively better antioxidant capacity with that of the standard drug ascorbic acid (IC50 value of 5. 2 µg/ml and 8.1 µg/ml). Based on the above results, Arg-lys. (RK) could be considered for various formulations of antioxidant effect suitable for prevention of human diseases.
Geometric and Topological Techniques in Graph Search-based Robot Planning

3 Work done so far 4 3.1 Planning with Homotopy class constraints . 4 3.1. 1 The problem in 2 dimensions . 4 3.1. 2 The problem in 3 dimensions . 5 3.1. 3 Generalization and extension to higher dimensions . 6 3.2 Metric information using graph search techniques – Voronoi Tessellation in Nonconvex and non-Euclidean metric spaces Using Graph Search . 8 3.3 Metric Transformation for Efficient Optimal Planning in Environments with Nonuniform Metric . 8 3.3.1 Problem definition in 2 dimensions with isotropic metric, and its partial solution . 9 3.3.2 An Illustrative Example . 10 3.3.3 Existence of f for a given m . 11 3.4 Dimensional Decomposition – Distributed Optimization using Separable Optimal Flow . 12
Sleep deprivation and the negative effect it will have on the individual's cognitive function

iii List of Figures vi List of Tables vii Chapter 1: Introduction 1 Operational Definitions 1 Limitations 2 Summary 2 Chapter 2: Literature Review 3 Sleep Deprivation 3 Cognitive Function 7 Working Memory 8 Processing Speed 10 Relationship! between! Sleep! Deprivation! and! Cognitive! Functions! of! Working! Memory! and! Processing! Speed! 11! Stroop! Test! 12! Chapter! 3:! Methodology! 15! Participants! 15! Materials! 15! Design! 16! Procedure! 18! Chapter! 4:! Results! 20! Descriptive! Statistics:! Sample! Population! 20! v! Table of
Efficient query evaluation on probabilistic XML data : derived from a glue process with skeleton & flesh

In many application scenarios, reliability and accuracy of data are of great importance. Data is often uncertain or inconsistent because the exact state of represented real world objects is unknown. A number of uncertain data models have emerged to cope with imperfect data in order to guarantee a level of reliability and accuracy. These models include probabilistic XML (P-XML) {an uncertain semi-structured data model{ and U-Rel {an uncertain table-structured data model. U-Rel is used by MayBMS, an uncertain relational database management system (URDBMS) that provides scalable query evaluation. In contrast to U-Rel, there does not exist an efficient query evaluation mechanism for P-XML. In this thesis, we approach this problem by instructing MayBMS to cope with P-XML in order to evaluate XPath queries on P-XML data as SQL queries on uncertain relational data. This approach entails two aspects: (1) a data mapping from P-XML to U-Rel that ensures that the same information is represented by database instances of both data structures, and (2) a query mapping from XPath to SQL that ensures that the same question is specified in both query languages. We present a specification of a P-XML to U-Rel data mapping and a corresponding XPath to SQL mapping. Additionally, we present two designs of this specification. The first design constructs a data mapping in such way that the corresponding query mapping is a traditional XPath to SQL mapping. The second design differs from the first in the sense that a component of the data mapping is evaluated as part of the query evaluation process. This offers the advantage that the data mapping is more efficient. Additionally, the second design allows for a number of optimizations that affect the performance of the query evaluation process. However, this process is burdened with the extra task of evaluating the data mapping component. An extensive experimental evaluation on synthetically generated data sets and real-world data sets shows that our implementation of the second design is more efficient in most scenarios. Not only is the P-XML data mapping executed more efficient, the query evaluation performance is also improved in most scenarios.
ON THE USEFULNESS OF EARNINGS AND EARNINGS RESEARCH: LESSONS AND DIRECTIONS FROM TWO DECADES OF EMPIRICAL RESEARCH

Assessing the usefulness of earnings to investors was a major motivation for the most concerted research effort in accounting history-the tradition of returns/earnings studies launched by Ball and Brown [1968] and Beaver [1968]. That earnings usefulness was the principal issue investigated at the time was made clear at the outset by Ball and Brown; the term usefulness, and closely related phrases such as utility and interest to investors, appear no less than ten times in their brief introduction. The focus on usefulness is reinforced by Ball and Brown in their second section [1968, pp. 160-61]: "Recent developments in capital theory provide justification for selecting the behavior of security prices as an operational test of usefulness. An impressive body of theory supports the proposition that capital markets are both efficient and unbiased in that if information is useful in forming capital asset prices, then the market will adjust asset prices to that information quickly. "1
An Efficient Synchronization Algorithm in OFDM-Based NB-IoT Systems

As one of the typical representatives of low-power technology, narrow-band Internet of Things (NB-IoT) is with wide coverage, large capacity, low cost and other characteristics, which is now in its trial commercial stage. On the other hand, timing detection is a prerequisite for establishing a communication link, thus it is of great importance in wireless communication systems, also in NB-IoT systems. Multipath propagation results in inter-symbol interference (ISI) that severely degrades the system performance. As orthogonal frequency-division multiplexing (OFDM) is adopted in NB-IoT systems, ISI can be avoided if the first arrival path is the strongest. However, most of the conventional algorithms use energy as the timing metrics which results in the dominant path is regard as the synchronization point rather than the first path. Moreover, the random arrival time of the received signal makes it difficult to detect the first path precisely. This paper proposed a first-path detection algorithm based on constant amplitude zero auto-correlation (CAZAC) sequences. The probability density function of timing metric was derived, in the light of which a first-path search method was designed, and a constant false alarm rate (CFAR) adaptive threshold was set according to the Neyman-Pearson criterion for accurately first-path estimation. Simulation results show that the proposed algorithm can realized fast and precise detection of the first arrival path in multipath fading channels.
MAT 1312 Hamiltonian Group Actions

8 Equivariant Cohomology 33 8.1 Homotopy quotients . 33 8.2 The Cartan model . 34 8.3 Characteristic classes of bundles over BU(1) and BT . 35 8.4 Characteristic classes in terms of the Cartan model . 37 8.5 Equivariant first Chern class of a prequantum line bundle . 38 8.6 Euler classes and equivariant Euler classes . 38 8.7 Localization formula for torus actions . 39 8.8 Proof of localization theorem when M consists of isolated fixed points 40 8.9 Equivariant characteristic classes . 43 8.10 The abelian localization theorem . 45
L G ] 1 F eb 2 01 6 A Survey on Contextual Multi-armed Bandits

4 Stochastic Contextual Bandits 6 4.1 Stochastic Contextual Bandits with Linear Realizability Assumption . 6 4.1. 1 LinUCB/SupLinUCB . 6 4.1. 2 LinREL/SupLinREL . 9 4.1. 3 CofineUCB . 11 4.1. 4 Thompson Sampling with Linear Payoffs . 11 4.1. 5 SpectralUCB . 14 4.2 Kernelized Stochastic Contextual Bandits . 14 4.2. 1 GP-UCB/CGP-UCB . 16 4.2. 2 KernelUCB . 18 4.3 Stochastic Contextual Bandits with Arbitrary Set of Policies . 19 4.3. 1 Epoch-Greedy . 19 4.3. 2 RandomizedUCB . 23 4.3. 3 ILOVETOCONBANDITS . 28
Catastrophic impact of wild boars: insufficient hunting pressure pushes snakes to the brink

Climatic changes, habitat loss and invasive species are important threats for many animal populations. Here, we report rapid declines and extinctions of adder populations monitored during 12 years in Belgium where none of the above causes was involved. This study provides the first large‐scale data showing that wild boars represent a major risk for snakes, pushing populations to extinction. Drastic population declines were observed in the sites impacted by wild boars (N = 14), while in other sites spared by wild boars populations remained stable (N = 9). Wild boars are highly fertile and their main predators have been extirpated from Western Europe; yet, recreational hunting kept populations in check during decades. Hunting pressure is currently insufficient to control the rapid expansion of wild boars, demographic outbreaks are increasingly frequent. Wild boars are omnivorous; they can destroy snakes directly and indirectly through the depletion of snake's preys and via the destruction of key microhabitats. Snakes exhibit limited dispersal capacities; they cannot escape local perturbations and thus are highly vulnerable. Because wild boars have a very eclectic diet, are prolific breeders and are able to devastate a range of habitats their negative impact under relaxed hunting pressure applies to a huge variety of organisms, including reptiles. Policies to limit wild boar populations are urgently needed. Recommendations to target reproductive females and piglets should be generalized and applied.
Stressors and resilience are associated with well-being in young adult college students

Abstract Objective: The purposes were to describe stressors and resilience behaviors of college students and examine the relationships among stressors, resilience, and well-being. Hypothesis: Resilience will modify the relationship between stressors and well-being. Participants: The sample included 1,010 college students, ages 18–26, from an urban Midwestern university. Methods: A secondary analysis of cross-sectional data from an anonymous survey was conducted using multiple regression and simple slopes analysis. Results: Resilience did not modify the relationship between stressors and well-being. Stressors (β = −.44, p < .0001) and resilience (β = .33, p < .0001) accounted for 42% of the variance in well-being (adjusted R 2 = .42, F 2,999 = 365.98, p < .0001). The most frequently endorsed stressors were sleep problems, anxiety, and relationships. Conclusions: Stressors and resilience warrant special attention in the allocation of resources and development of programs to improve student well-being.
History of Solar Neutrino Observations

The first solar neutrino experiment led by Raymond Davis Jr. showed a deficit of neutrinos relative to the solar model prediction, referred to as the “solar neutrino problem” since the 1970s. The Kamiokande experiment led by Masatoshi Koshiba successfully observed solar neutrinos, as first reported in 1989. The observed flux of solar neutrinos was almost half the prediction and confirmed the solar neutrino problem. This problem was not resolved for some time due to possible uncertainties in the solar model. In 2001, it was discovered that the solar neutrino problem is due to neutrino oscillations by comparing the Super-Kamiokande and Sudbury Neutrino Observatory results, which was the first model-independent comparison. Detailed studies of solar neutrino oscillations have since been performed, and the results of solar neutrino experiments are consistent with solar model predictions when the effect of neutrino oscillations are taken into account. In this article, the history of solar neutrino observations is reviewed with the contributions of Kamiokande and Super-Kamiokande detailed. Subject Index C43, F21
Advanced 3D scan data analysis for performant reengineering maintenance processes

Overhaul processes of long-living, cost-intensive machines and facilities are time-consuming tasks. They aim either at full recovery of the original product condition through repair or spare part exchange or at modernization for performance enhancement. However, decision for an overhaul should be carefully considered, because realization may be difficult und time-critical. Every overhaul process is unique and based on a thoroughly diagnosis of product condition. This makes it a risky and hard to plan project. In this context speed of overhaul operation is essential for avoiding costs due to machine down times. Obsolescence of components and modernization goals demand for an efficient reengineering to design geometric models for production. Modern 3D scanning technologies deliver 3D models of actual product geometry and allow deviation and tolerance analyses in case of available reference models. However, optical limitations and difficult part disassembly make 3D digitization still a laborious task and is additionally followed by a high effort in data post-processing. This paper depicts a new approach to facilitate reengineering processes through advanced methods in 3D scan data analysis of non-disassembled products. Implementations allow parts identification in 3D assembly scans through shape recognition and database search for provision of needed CAD data. Keywords—Maintenance; overhaul; inspection; reengineering; 3D scan; shape retrieval.
Contrastive Learning-Based Anomaly Detection for Actual Corporate Environments

Information systems play an important role in business management, especially in personnel, budget, and financial management. If an anomaly ensues in an information system, all operations are paralyzed until their recovery. In this study, we propose a method for collecting and labeling datasets from actual operating systems in corporate environments for deep learning. The construction of a dataset from actual operating systems in a company’s information system involves constraints. Collecting anomalous data from these systems is challenging because of the need to maintain system stability. Even with data collected over a long period, the training dataset may have an imbalance of normal and anomalous data. We propose a method that utilizes contrastive learning with data augmentation through negative sampling for anomaly detection, which is particularly suitable for small datasets. To evaluate the effectiveness of the proposed method, we compared it with traditional deep learning models, such as the convolutional neural network (CNN) and long short-term memory (LSTM). The proposed method achieved a true positive rate (TPR) of 99.47%, whereas CNN and LSTM achieved TPRs of 98.8% and 98.67%, respectively. The experimental results demonstrate the method’s effectiveness in utilizing contrastive learning and detecting anomalies in small datasets from a company’s information system.
A 3-D Scattering Model for Orientation-dependent X-ray Dark-field Imaging

X-ray dark-field imaging has drawn attention in recent years for its great diagnostic potential. This novel modality measures structural variations at length scales of few hundred nanometers using a conventional X-ray tube. It yields high contrast to some structures composed of weakly absorbing materials. The dark-field signals are generated by orientations of the micro structures in the objects and thus enable reconstruction of local 3-D orientations. The main barrier for fully recovering the 3-D micro structure orientation is that, to our knowledge, currently no analytic linear projection formula exists. In this paper, we develop a 3-D Xray dark-field scattering model. This model is experimentally validated by dark-field images of bunches of fibers. This is a major step towards the inversion of the orientation-dependent dark-field line integral. Based on this model, fully vectorial darkfield reconstruction can be expected in future.
TO EVALUATE THE ANTIMICROBIAL EFFICACY OF SIX MOUTHWASHES AGAINST STAPHYLOCOCCUS AUREUS AND STREPTOCOCCUS MUTANS – IN INVITRO STUDY

Dr. A. Sudheer 1 , Dr. N. V. V. Satya Bhushan 2 , Dr. U. Siva Kalyan 3 , Dr. Kho Chai Chiang 4 and Dr. S. Prameela 1 . 1. Post Graduate student, Department of Oral and Maxillofacial Surgery, GITAM Dental College and Hospital, Visakhapatnam. 2. Professor and Head, Department of Oral and Maxillofacial Surgery, GITAM Dental College and Hospital, Visakha patnam. 3. Reader, Department of Oral and Maxillofacial Surgery, GITAM Dental College and Hospital, Visakhapatnam. 4. Senior Lecturer, Department of Oral and Maxillofacial Surgery, GITAM Dental College and Hospital, Visakhapatnam. Manuscript Info Abstract . Manuscript History
Does the Experimental Scientist Have a “Theory of Mind”?

The concept of a “theory of mind” was widely used in developmental and evolutionary psychology and neuroscience in the wake of Premack and Woodruff's 1978 article “Does the Chimpanzee Have a Theory of Mind? ” and Baron-Cohen, Leslie, and Frith's 1985 follow-up “Does the Autistic Child Have a ‘Theory of Mind? ’” The subsequent confluence of cognitive science and narrative theory brought “theory of mind” to literary critics. Only a very small set of people, however, have read both the neuropsychological and the literary texts on “theory of mind”; as a result of this lack of interdisciplinary expertise, the term has acquired subtly differing senses in the literary and neuroscientific communities. Because of this terminological slippage, neuroscientists and literary critics who argue in terms of “theory of mind” may believe that they are speaking with each other when they actually are speaking past each other. If proponents of cognitive literary theory are to realize the interdisciplinary fusion to which we aspire, then we must ensure that we speak in the same idiom.
Effects of nanoencapsulated aloe vera, dill and nettle root extract as feed antibiotic substitutes in broiler chickens

Abstract. Aloe vera, nettle and dill are herbs that have been used in the poultry diet as feed additives to utilise their benefits in improving performance, immune response and health of broiler chickens. However, reactive and volatile properties of bioactive compounds in herbal extracts cause limitations on direct usage of them in the diet. The use of chitosan (CS) nanoparticles for the entrapment of active components has gained interest in the last few years due to its mucous adhesiveness, non-toxicity, biocompatibility and biodegradability. This study was an effort to evaluate effects of nanoencapsulated extracts of aloe vera, dill and nettle root used in diet on performance, carcass traits and serum immunoglobulin (IgM and IgY) concentrations in broiler chickens. Chitosan nanoparticles were prepared by using ionotropic gelation principle. After nanogel preparation of herbal extracts, a total of 240 Ross (308) broiler chicks were divided into eight treatments, with three replicates of 10 birds. The eight dietary treatments consisted of control (no additives), antibiotic (bacitracin 500 g t−1), non-encapsulated and nanoencapsulated extracts of aloe vera, dill and nettle root. In each experimental period, non-encapsulated (free extracts) and nanoencapsulated extracts of aloe vera, dill and nettle roots were added in amounts of 0.02, 0.025 and 0.05 % to starter, grower and finisher diets, respectively. Birds in different treatments received the same diets during the experimental periods. Results revealed that increasing both non-encapsulated and nanoencapsulated herbal extracts to 0.05 % in finisher diets improved body weight gain in the time period of 28–42 days and consequently the whole time from 1 to 42 days. However, in these periods, birds fed a diet containing nanoencapsulated dill extract had a significantly (P